CN109799731B - Multi-band optical radiation type semi-physical simulation method and system - Google Patents

Multi-band optical radiation type semi-physical simulation method and system Download PDF

Info

Publication number
CN109799731B
CN109799731B CN201910081754.7A CN201910081754A CN109799731B CN 109799731 B CN109799731 B CN 109799731B CN 201910081754 A CN201910081754 A CN 201910081754A CN 109799731 B CN109799731 B CN 109799731B
Authority
CN
China
Prior art keywords
visible light
simulation
imager
image
output
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910081754.7A
Other languages
Chinese (zh)
Other versions
CN109799731A (en
Inventor
范小礼
刘畅
周志远
王静
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Institute of Environmental Features
Original Assignee
Beijing Institute of Environmental Features
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Institute of Environmental Features filed Critical Beijing Institute of Environmental Features
Priority to CN201910081754.7A priority Critical patent/CN109799731B/en
Publication of CN109799731A publication Critical patent/CN109799731A/en
Application granted granted Critical
Publication of CN109799731B publication Critical patent/CN109799731B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Image Processing (AREA)

Abstract

The invention relates to a multiband optical radiation type semi-physical simulation method and a system, wherein the simulation method comprises the following steps: obtaining the corresponding relation between the gray value of an image output by the simulation wave band imager and the brightness of a simulation scene; obtaining a corresponding relation between the gray value of the image output by the visible light imager and the brightness of the simulated scene based on the visible light projector; the gray value of an image output by a visible light imager is equal to the gray value of an image output by a simulation waveband imager, a visible light form conversion coefficient with digitalized simulation scene brightness values is obtained, then the visible light projector and the visible light imager are pre-calibrated, and the working process of the simulation waveband projector and the simulation waveband imager is simulated by adopting the pre-calibrated visible light projector and the pre-calibrated visible light imager, so that simulation is realized. The invention reduces the simulation cost and improves the imaging quality.

Description

Multi-band optical radiation type semi-physical simulation method and system
Technical Field
The invention relates to the technical field of optical radiation type semi-physical simulation, in particular to a multiband optical radiation type semi-physical simulation method and system.
Background
At present, in the test of an optical seeker, a guidance system, a signal processor and an algorithm, an optical radiation type semi-physical simulation system is adopted to replace most of external field tests, so that a great deal of expenditure is saved, and the test efficiency can be greatly improved; in addition, through the semi-physical simulation system, the development period of the weapon system can be shortened, and the environmental adaptability of the weapon system is improved.
The optical imager used in the optical simulation of the weapon system comprises a plurality of wave bands such as ultraviolet light, infrared light, visible light and the like, and the technical development level of the optical imagers in each wave band is different. The visible light camera technology is the most mature, and the price is low; and ultraviolet, especially infrared imaging, is a relatively low-level technology and is expensive.
In an optical radiation type semi-physical simulation system, an imager and a dynamic image projector corresponding to the imager are needed; and the infrared and ultraviolet imaging equipment is high in price, and ultraviolet rays are harmful to human bodies. Therefore, the application of the semi-physical simulation system aiming at the infrared and ultraviolet bands is greatly restricted due to large investment.
Therefore, in view of the above disadvantages, there is a need for a new method for realizing optical radiation type semi-physical simulation, which can reduce the price of the system and does not cause harm to human body.
Disclosure of Invention
The invention aims to solve the technical problems that in the optical simulation of infrared and ultraviolet bands in the prior art, imaging equipment is high in manufacturing cost, and light rays in the ultraviolet band can cause harm to human bodies, and provides a multiband optical radiation type semi-physical simulation method and system.
In order to solve the technical problem, the invention provides a multiband optical radiation type semi-physical simulation method, which comprises the following steps: obtaining the corresponding relation between the gray value of an image output by the simulation wave band imager and the brightness of a simulation scene;
obtaining a corresponding relation between the gray value of the image output by the visible light imager and the brightness of the simulated scene based on the visible light projector;
the gray value of an image output by a visible light imager is equal to the gray value of an image output by a simulation waveband imager, a visible light form conversion coefficient with digitalized simulation scene brightness values is obtained, then the visible light projector and the visible light imager are pre-calibrated, and the working process of the simulation waveband projector and the simulation waveband imager is simulated by adopting the pre-calibrated visible light projector and the pre-calibrated visible light imager, so that simulation is realized.
In the multiband optical radiation type semi-physical simulation method, the corresponding relation between the gray value of the image output by the simulation band imager and the brightness of the simulation scene is obtained through a conversion model from the brightness of the simulation band imager to the gray value.
In the multiband optical radiation type semi-physical simulation method according to the present invention, the conversion model from the brightness to the gray scale of the simulation band imager is:
Gdetctor(i,j)=a0*L(i,j)+b0
wherein G isdetctor(i, j) is the gray value of the ith row and jth column pixel of the simulation wave band imager output image, L (i, j) is the brightness value of the simulation scene corresponding to the ith row and jth column position of the output image, a0Slope value of photoelectric conversion coefficient of simulation wave band imager, b0The offset value of the photoelectric conversion coefficient of the simulated waveband imager is obtained.
In the multiband optical radiation type semi-physical simulation method according to the present invention, the obtaining of the correspondence between the gray level value of the image output by the visible light imager and the brightness of the simulation scene includes:
and obtaining the gray value of the pixel of the input image of the visible light projector according to the brightness value of the simulation scene, and obtaining the gray value of the pixel of the output image of the visible light imager according to the gray value of the pixel of the input image of the visible light projector.
In the multiband optical radiation type semi-physical simulation method according to the present invention, the gray scale values of the pixels of the input image of the visible light projector are obtained by the following formula:
Ginput(i,j)=a1*L(i,j)+b1
in the formula Ginput(i, j) is the gray value of the ith row and jth column pixel of the input image of the visible light projector, a1Slope coefficient for digitizing luminance values of simulated scenes, b1And (4) digitizing the deviation coefficient for the brightness value of the simulation scene.
In the multiband optical radiation type semi-physical simulation method, the gray value of the pixel of the output image of the visible light imager is obtained according to the following formula:
Goutput(i,j)=a2*Ginput(i,j)+b2
in the formula Goutput(i, j) is the gray value of the ith row and jth column pixel of the visible light imager output image, a2Slope value for the output image conversion from the visible light projector to the visible light imager, b2An offset value for the image conversion is output for the visible light projector to the visible light imager.
In the multiband optical radiation type semi-physical simulation method according to the present invention, the method of obtaining the visible light form conversion coefficient of the simulation scene brightness value digitization is:
let Goutput(i,j)=Gdetector(i, j) calculating to obtain the conversion coefficient.
In the method for multi-band optical radiation type semi-physical simulation according to the invention, the conversion coefficient comprises a slope coefficient a1And offset coefficient b1And calculating to obtain:
Figure BDA0001960585960000031
the invention also provides a multiband optical radiation type semi-physical simulation system which comprises a simulation control unit, a scene generation unit, a visible light projector, a visible light imager and an image acquisition processor,
the simulation control unit sends the positions of the target and the weapon system in the simulation scene to the scene generation unit; the scene generation unit obtains a required dynamic simulation scene image by using a modeling calculation method; the visible light projector converts the dynamic simulation scene image into a visible light signal and projects the visible light signal to the visible light imager; the visible light imager converts the visible light signal into an electric signal and transmits the electric signal to the image acquisition processor; the image acquisition processor processes the electric signal to obtain a digital image, a target is detected in the digital image, a detection result is sent to the simulation control unit, and the simulation control unit sends the detected target position and the current weapon system position to the scene generation unit;
the visible light imager enables the gray value of the pixel of the output image to satisfy the following relational expression through pre-calibration:
Goutput(i,j)=a2*Ginput(i,j)+b2
in the formula Goutput(i, j) is the gray value of the ith row and jth column pixel of the visible light imager output image, a2Slope value for the output image conversion from the visible light projector to the visible light imager, b2An offset value for the visible light projector to visible light imager output image transitions;
the visible light projector enables the gray value G of the input image pixel through pre-calibrationinput(i, j) satisfies the following relation:
Ginput(i,j)=a1*L(i,j)+b1
in the formula Ginput(i, j) is the gray value of the ith row and jth column pixel of the input image of the visible light projector, a1Slope coefficient for digitizing luminance values of simulated scenes, b1And L (i, j) is the brightness value of the simulation scene corresponding to the ith row and jth column position of the output image.
In the multiband optical radiation type semi-physical simulation system according to the invention, the slope coefficient a1And offset coefficient b1Is calculated byComprises the following steps:
according to a conversion model from the brightness of the simulation wave band imager to the gray level:
Gdetctor(i,j)=a0*L(i,j)+b0
wherein G isdetctor(i, j) is the gray value of the ith row and jth column pixel of the simulation wave band imager output image, a0Slope value of photoelectric conversion coefficient of simulation wave band imager, b0An offset value of a photoelectric conversion coefficient of the simulation wave band imager;
let Goutput(i,j)=Gdetector(i, j), calculating to obtain:
Figure BDA0001960585960000051
the implementation of the multiband optical radiation type semi-physical simulation method and the system thereof has the following beneficial effects: according to the principle that images output by optical imagers in different wave bands are digital images, the invention utilizes a projector and an imager in a visible light wave band to calibrate the gray values of the images output by the projector and the imager in the visible light wave band according to the corresponding relation between the gray value of the imager in the simulation wave band and the scene brightness, thereby simulating and generating the images in different simulation wave bands through the projector and the imager in the visible light wave band.
The invention is used in optical semi-physical simulation, replaces the projectors and optical imagers of different wave band optical scenes by utilizing the visible light projector and the visible light camera, is beneficial to solving the problems of high cost and low contrast ratio existing in infrared and ultraviolet simulation wave band equipment, and can improve the image quality.
The invention can be widely used for the test of a guidance control system, a signal processor and a target identification tracking algorithm; because the visible light projector is adopted to project the image, the use safety is ensured, and the harm to the human body is avoided.
Drawings
FIG. 1 is an exemplary flow diagram of a multi-band optical radiative semi-physical simulation method according to the present invention;
FIG. 2 is an exemplary block diagram of a multi-band optical radiometric semi-physical simulation system according to the present invention;
FIG. 3 is an exemplary block diagram of a prior art multi-band optical radiometric semi-physical simulation system; the arrows in fig. 2 and 3 represent optical signals.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
In a first aspect, the invention provides a multiband optical radiation type semi-physical simulation method, which is shown in fig. 1 and includes: the method starts at step 110;
in step 120, obtaining a corresponding relationship between the gray value of the image output by the simulation band imager and the brightness of the simulation scene;
in step 130, obtaining a corresponding relation between the gray value of the output image of the visible light imager and the brightness of the simulated scene based on the visible light projector;
the steps 120 and 130 have no front-back sequence requirement;
in step 140, the gray value of the image output by the visible light imager is equal to the gray value of the image output by the simulation band imager, so as to obtain the digital visible light form conversion coefficient of the simulation scene brightness value, then the visible light projector and the visible light imager are pre-calibrated, and the working process of the simulation band projector and the simulation band imager is simulated by adopting the pre-calibrated visible light projector and the visible light imager, so as to realize simulation;
the method ends in step 150.
By analyzing the optical imagers in different wave bands, the output images are represented in binary form in a digital signal processor and a computer. Thus, in testing for image processors, guidance systems, and signal processing algorithms, the data streams were for binary data streams, independent of the optical band of the imager. The embodiment is based on that, the working process of the projectors and the imagers in different wave bands is simulated by utilizing the visible light projectors and the visible light imagers in the visible light wave bands, so as to generate the images in the corresponding wave bands. The different bands include an ultraviolet band, an infrared band and a visible light band, that is, in the embodiment, corresponding devices of all bands can be replaced by the projector and the imager of the visible light band, so that the image of the simulation band can be obtained.
Further, the corresponding relation between the gray value of the image output by the simulation band imager and the brightness of the simulation scene is obtained through a conversion model from the brightness of the simulation band imager to the gray value. The embodiment establishes the corresponding relation between the gray value of the image output by the simulation wave band imager and the brightness value of the simulation scene.
As an example, the simulation band imager luminance to grayscale conversion model is:
Gdetctor(i,j)=a0*L(i,j)+b0
wherein G isdetctor(i, j) is the gray value of the ith row and jth column pixel of the simulation wave band imager output image, L (i, j) is the brightness value of the simulation scene corresponding to the ith row and jth column position of the output image, a0Slope value of photoelectric conversion coefficient of simulation wave band imager, b0The offset value of the photoelectric conversion coefficient of the simulated waveband imager is obtained.
Slope value a0And offset value b0For the conversion from target radiation brightness to imager image gray scale, the method of calibration is adopted in engineering, and the slope value a can be fitted through multi-point calibration0And offset value b0
In the simulation process, the imaging process is as follows: the scene generation computer calculates the brightness distribution of the scene through modeling and then converts the brightness distribution into a gray image; and then the gray level image is projected into the imager through the scene projector, and then the image acquisition processor acquires the gray level image output by the imager.
Further, the obtaining the corresponding relationship between the gray value of the image output by the visible light imager and the brightness of the simulated scene includes:
and obtaining the gray value of the pixel of the input image of the visible light projector according to the brightness value of the simulation scene, and obtaining the gray value of the pixel of the output image of the visible light imager according to the gray value of the pixel of the input image of the visible light projector. Firstly, establishing the relationship between the gray value of the pixel of the input image of the visible light projector and the brightness value of the simulation scene, and then obtaining the gray value of the pixel of the output image of the visible light imager according to the gray value of the pixel of the input image of the visible light projector.
As an example, the gray scale values of the visible light projector input image pixels are obtained by:
Ginput(i,j)=a1*L(i,j)+b1
in the formula Ginput(i, j) is the gray value of the ith row and jth column pixel of the input image of the visible light projector, a1Slope coefficient for digitizing luminance values of simulated scenes, b1And (4) digitizing the deviation coefficient for the brightness value of the simulation scene. Wherein G isinput(i, j) are digitized from simulated scene luminance values.
As an example, the gray scale values of the visible light imager output image pixels are obtained by:
Goutput(i,j)=a2*Ginput(i,j)+b2
in the formula Goutput(i, j) is the gray value of the ith row and jth column pixel of the visible light imager output image, a2Slope value for the output image conversion from the visible light projector to the visible light imager, b2An offset value for the image conversion is output for the visible light projector to the visible light imager.
Slope value a2And offset value b2The intrinsic coefficients of the visible light imager can be obtained by fitting through a calibration method.
Because the visible light camera and the visible light projector are used for simulating the image generation process of different wave bands, the gray values of the images output by the visible light imager and the simulation wave band imager are equal to each other only according to the brightness value of the same simulation scene. The simulation wave band of the simulation wave band imager refers to a real wave band corresponding to the simulation image.
Further, the method for obtaining the digitalized visible light form conversion coefficient of the simulation scene brightness value comprises the following steps:
let Goutput(i,j)=Gdetector(i, j) calculating to obtain the conversion coefficient.
From Ginput(i,j)=a1*L(i,j)+b1
Goutput(i,j)=a2*Ginput(i,j)+b2=a2a1*L(i,j)+a2b1+b2
Then there are: a is0*L(i,j)+b0=a2a1*L(i,j)+a2b1+b2
Further obtaining: a is0=a2a1;b0=a2b1+b2
Still further, the conversion coefficient includes a slope coefficient a1And offset coefficient b1And calculating to obtain:
Figure BDA0001960585960000081
in the above expression, the slope value a0Offset value b0Slope value a2And offset value b2All the coefficients are inherent coefficients of the equipment and can be obtained by calibration. Further calculation can obtain the slope coefficient a1And offset coefficient b1The value of (c).
Thus, for a simulation system, first the slope value a2And offset value b2Is a fixed value; when the imagers of different wave bands are simulated, only the photoelectric conversion coefficient slope value a of the simulated imager is needed to be obtained0And offset value b0Then the simulation field can be calculatedSlope coefficient a of scene brightness value digitization1And a deviation coefficient b of the simulation scene brightness value digitization1And then calibrating the visible light projector and the visible light imager in advance according to the obtained coefficients, projecting the gray level image corresponding to the simulation scene into the visible light imager through the calibrated visible light projector, wherein the output image obtained by the calibrated visible light imager is the image obtained by the simulated imager.
In summary, in the simulation method of different wave bands, as long as different conversion coefficients are obtained, simulation of the imaging process of the imager of different wave bands by the visible light projector and the visible light imager can be realized, and the simulation is independent of the wave bands. Therefore, the visible light projector and the visible light imager are directly used for forming a semi-physical simulation system with the scene generation computer, the simulation control computer and the image acquisition processor, and the semi-physical simulation system can be used for testing a guidance control system, a signal processor and a target identification tracking algorithm, so that the simulation cost is greatly reduced.
The second embodiment of the invention, in another aspect, further provides a multiband optical radiation type semi-physical simulation system, which is shown in fig. 2, and includes a simulation control unit 1, a scene generation unit 2, a visible light projector 3, a visible light imager 4 and an image acquisition processor 5,
the simulation control unit 1 sends the positions of the targets and the weapon systems in the simulation scene to the scene generation unit 2; the scene generation unit 2 obtains a required dynamic simulation scene image by using a modeling calculation method; the visible light projector 3 converts the dynamic simulation scene image into a visible light signal, and projects the visible light signal to the visible light imager 4; the visible light imager 4 converts the visible light signal into an electric signal and transmits the electric signal to the image acquisition processor 5; the image acquisition processor 5 processes the electric signal to obtain a digital image, detects a target in the digital image, sends a detection result to the simulation control unit 1, and the simulation control unit 1 sends the detected target position and the current weapon system position to the scene generation unit 2;
the visible light imager 4 makes the gray value of the output image pixel satisfy the following relation through pre-calibration:
Goutput(i,j)=a2*Ginput(i,j)+b2
in the formula Goutput(i, j) is the gray value of the ith row and jth column pixel of the visible light imager output image, a2Slope value for the output image conversion from the visible light projector to the visible light imager, b2An offset value for the visible light projector to visible light imager output image transitions;
the visible light projector 3 uses a pre-calibration to determine the gray value G of the pixels of the input imageinput(i, j) satisfies the following relation:
Ginput(i,j)=a1*L(i,j)+b1
in the formula Ginput(i, j) is the gray value of the ith row and jth column pixel of the input image of the visible light projector, a1Slope coefficient for digitizing luminance values of simulated scenes, b1And L (i, j) is the brightness value of the simulation scene corresponding to the ith row and jth column position of the output image.
The simulation control unit 1 and the scene generation unit 2 in the present embodiment may be a simulation control computer and a scene generation computer, respectively.
Referring to fig. 2 and 3, the simulation system according to the present embodiment has the same principle as the existing optical radiation type semi-physical simulation system, except that a pre-calibrated visible light projector and a pre-calibrated visible light imager are used to replace the real-wavelength projector and the real-wavelength imager used in the existing system. The image acquisition processor 5 detects and identifies the acquired digital image, and can acquire the position, form and brightness information of the target. After the current target position is obtained, the scene generation unit 2 generates a new image according to the current target position and the current weapon system position, and starts the next round of simulation, so that the closed-loop test is realized. The image acquisition processor 5 and the simulation control unit 1 can replace the weapon system with a real object or load an algorithm used by the weapon system, so as to realize the semi-real object test of the weapon system.
Further, the slope coefficient a1And offset coefficient b1The calculation method comprises the following steps:
according to a conversion model from the brightness of the simulation wave band imager to the gray level:
Gdetctor(i,j)=a0*L(i,j)+b0
wherein G isdetctor(i, j) is the gray value of the ith row and jth column pixel of the simulation wave band imager output image, a0Slope value of photoelectric conversion coefficient of simulation wave band imager, b0An offset value of a photoelectric conversion coefficient of the simulation wave band imager;
let Goutput(i,j)=Gdetector(i, j), calculating to obtain:
Figure BDA0001960585960000111
in conclusion, the invention uses the visible light projector and the visible light imager to replace the projector and the imager of the simulation wave band to simulate the image, thereby realizing the simulation; the implementation cost is reduced, and the imaging quality is improved.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A multiband optical radiation type semi-physical simulation method is characterized by comprising the following steps:
obtaining the corresponding relation between the gray value of an image output by the simulation wave band imager and the brightness of a simulation scene;
obtaining a corresponding relation between the gray value of the image output by the visible light imager and the brightness of the simulated scene based on the visible light projector;
the gray value of an image output by a visible light imager is equal to the gray value of an image output by a simulation waveband imager, a visible light form conversion coefficient with digitalized simulation scene brightness values is obtained, then the visible light projector and the visible light imager are pre-calibrated, and the working process of the simulation waveband projector and the simulation waveband imager is simulated by adopting the pre-calibrated visible light projector and the pre-calibrated visible light imager, so that simulation is realized.
2. The multiband optical radiation type semi-physical simulation method of claim 1, wherein:
the corresponding relation between the gray value of the image output by the simulation band imager and the brightness of the simulation scene is obtained through a conversion model from the brightness of the simulation band imager to the gray value.
3. The method of claim 2, wherein: the conversion model from the brightness to the gray scale of the simulation wave band imager is as follows:
Gdetctor(i,j)=a0*L(i,j)+b0
wherein G isdetctor(i, j) is the gray value of the ith row and jth column pixel of the simulation wave band imager output image, L (i, j) is the brightness value of the simulation scene corresponding to the ith row and jth column position of the output image, a0Slope value of photoelectric conversion coefficient of simulation wave band imager, b0The offset value of the photoelectric conversion coefficient of the simulated waveband imager is obtained.
4. The multiband optical radiative semi-physical simulation method of any one of claims 1 to 3, wherein: the obtaining of the corresponding relationship between the gray value of the image output by the visible light imager and the brightness of the simulated scene comprises:
and obtaining the gray value of the pixel of the input image of the visible light projector according to the brightness value of the simulation scene, and obtaining the gray value of the pixel of the output image of the visible light imager according to the gray value of the pixel of the input image of the visible light projector.
5. The method of claim 4, wherein:
the gray scale values of the visible light projector input image pixels are obtained by:
Ginput(i,j)=a1*L(i,j)+b1
in the formula Ginput(i, j) is the gray value of the ith row and jth column pixel of the input image of the visible light projector, a1Slope coefficient for digitizing luminance values of simulated scenes, b1And (4) digitizing the deviation coefficient for the brightness value of the simulation scene.
6. The method of claim 5, wherein:
the gray scale value of the visible light imager output image pixel is obtained by:
Goutput(i,j)=a2*Ginput(i,j)+b2
in the formula Goutput(i, j) is the gray value of the ith row and jth column pixel of the visible light imager output image, a2Slope value for the output image conversion from the visible light projector to the visible light imager, b2An offset value for the image conversion is output for the visible light projector to the visible light imager.
7. The method of claim 6, wherein:
the method for obtaining the digitalized visible light form conversion coefficient of the simulation scene brightness value comprises the following steps:
let Goutput(i,j)=Gdetector(i, j) calculating to obtain the conversion coefficient.
8. The method of claim 7, wherein:
the conversion coefficient comprises a slope coefficient a1And offset coefficient b1And calculating to obtain:
Figure FDA0003230705980000021
9. a multiband optical radiation type semi-physical simulation system is characterized in that: the system can enable the gray value of an image output by the visible light imager to be equal to the gray value of an image output by the simulation wave band imager, so that a visible light form conversion coefficient of digitalized simulation scene brightness values is obtained, then the visible light projector and the visible light imager are pre-calibrated, and the working processes of the simulation wave band projector and the simulation wave band imager are simulated by adopting the pre-calibrated visible light projector and the visible light imager, so that simulation is realized;
the simulation system includes: a simulation control unit (1), a scene generation unit (2), a visible light projector (3), a visible light imager (4) and an image acquisition processor (5),
the simulation control unit (1) sends the positions of the target and the weapon system in the simulation scene to the scene generation unit (2); the scene generation unit (2) obtains a required dynamic simulation scene image by using a modeling calculation method; the visible light projector (3) converts the dynamic simulation scene image into a visible light signal and projects the visible light signal to the visible light imager (4); the visible light imager (4) converts the visible light signal into an electric signal and transmits the electric signal to the image acquisition processor (5); the image acquisition processor (5) processes the electric signal to obtain a digital image, a target is detected in the digital image, a detection result is sent to the simulation control unit (1), and the simulation control unit (1) sends the detected target position and the current weapon system position to the scene generation unit (2);
the visible light imager (4) enables the gray value of the output image pixel to satisfy the following relational expression through pre-calibration:
Goutput(i,j)=a2*Ginput(i,j)+b2
in the formula Goutput(i, j) is the ith row and the jth column of the output image of the visible light imagerGrey value of pixel, a2Slope value for the output image conversion from the visible light projector to the visible light imager, b2An offset value for the visible light projector to visible light imager output image transitions;
the visible light projector (3) uses a pre-calibration to adjust the gray value G of the pixels of the input imageinput(i, j) satisfies the following relation:
Ginput(i,j)=a1*L(i,j)+b1
in the formula Ginput(i, j) is the gray value of the ith row and jth column pixel of the input image of the visible light projector, a1Slope coefficient for digitizing luminance values of simulated scenes, b1And L (i, j) is the brightness value of the simulation scene corresponding to the ith row and jth column position of the output image.
10. The multiband optical radiative semi-physical simulation system of claim 9, wherein:
the slope coefficient a1And offset coefficient b1The calculation method comprises the following steps:
according to a conversion model from the brightness of the simulation wave band imager to the gray level:
Gdetctor(i,j)=a0*L(i,j)+b0
wherein G isdetctor(i, j) is the gray value of the ith row and jth column pixel of the simulation wave band imager output image, a0Slope value of photoelectric conversion coefficient of simulation wave band imager, b0An offset value of a photoelectric conversion coefficient of the simulation wave band imager;
let Goutput(i,j)=Gdetector(i, j), calculating to obtain:
Figure FDA0003230705980000041
CN201910081754.7A 2019-01-28 2019-01-28 Multi-band optical radiation type semi-physical simulation method and system Active CN109799731B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910081754.7A CN109799731B (en) 2019-01-28 2019-01-28 Multi-band optical radiation type semi-physical simulation method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910081754.7A CN109799731B (en) 2019-01-28 2019-01-28 Multi-band optical radiation type semi-physical simulation method and system

Publications (2)

Publication Number Publication Date
CN109799731A CN109799731A (en) 2019-05-24
CN109799731B true CN109799731B (en) 2021-09-24

Family

ID=66560548

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910081754.7A Active CN109799731B (en) 2019-01-28 2019-01-28 Multi-band optical radiation type semi-physical simulation method and system

Country Status (1)

Country Link
CN (1) CN109799731B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112396670B (en) * 2019-08-15 2023-01-10 天津大学青岛海洋技术研究院 Image reconstruction method for novel binary image sensor

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010166363A (en) * 2009-01-16 2010-07-29 Toyota Central R&D Labs Inc Pseudo-gray-image generating device, and program
CN102620605A (en) * 2012-03-31 2012-08-01 林德福 Global positioning system (GPS) and inertial navigation system (INS) combination guidance system for semi-physical simulation
CN103591968A (en) * 2013-10-31 2014-02-19 中国运载火箭技术研究院 Real target scene simulation system based on visible light target simulator
CN106508049B (en) * 2010-06-29 2014-06-11 上海机电工程研究所 A kind of process of infrared background view data and conversion method
CN104517515A (en) * 2014-12-23 2015-04-15 哈尔滨工业大学 Sand table infrared illuminating system for simulation laboratory
CN105389591A (en) * 2015-11-11 2016-03-09 中国人民解放军海军航空工程学院 Method for verifying simulation of typical effect of infrared imaging sensor
CN108010124A (en) * 2017-12-27 2018-05-08 哈尔滨工业大学 The big visual field infrared acquisition image simulation method transmitted based on radiation

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1536630A1 (en) * 2003-11-27 2005-06-01 LOGO Beteiligungsges. mbH Method for generating a color profile for a digital camera
CN104714767A (en) * 2013-12-11 2015-06-17 上海机电工程研究所 High-frame-frequency infrared scene generating system and method
TWI540566B (en) * 2014-12-09 2016-07-01 緯創資通股份有限公司 Display and method and system for compensating brightness or color of display
CN107450347B (en) * 2017-07-14 2019-10-22 西安电子科技大学 A kind of GPU Real-time Nonuniformity Correction method based on infrared semi-matter simulating system
CN109269642B (en) * 2018-08-30 2021-10-22 上海机电工程研究所 Infrared image generation device and method based on color filter wheel

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010166363A (en) * 2009-01-16 2010-07-29 Toyota Central R&D Labs Inc Pseudo-gray-image generating device, and program
CN106508049B (en) * 2010-06-29 2014-06-11 上海机电工程研究所 A kind of process of infrared background view data and conversion method
CN102620605A (en) * 2012-03-31 2012-08-01 林德福 Global positioning system (GPS) and inertial navigation system (INS) combination guidance system for semi-physical simulation
CN103591968A (en) * 2013-10-31 2014-02-19 中国运载火箭技术研究院 Real target scene simulation system based on visible light target simulator
CN104517515A (en) * 2014-12-23 2015-04-15 哈尔滨工业大学 Sand table infrared illuminating system for simulation laboratory
CN105389591A (en) * 2015-11-11 2016-03-09 中国人民解放军海军航空工程学院 Method for verifying simulation of typical effect of infrared imaging sensor
CN108010124A (en) * 2017-12-27 2018-05-08 哈尔滨工业大学 The big visual field infrared acquisition image simulation method transmitted based on radiation

Non-Patent Citations (7)

* Cited by examiner, † Cited by third party
Title
Background modeling in infrared guidance hardware-in-loop simulation system;Haowen Zhang;Wulong Zhang;Yunjie Wu;Jianmin Wang;《Proceedings of 2014 IEEE Chinese Guidance, Navigation and Control Conference》;20150115;全文 *
Design of two-DMD based zoom MW and LW dual-band IRSP using pixel fusion;Yue Pan,Xiping Xu, Yang Qiao;《Infrared Physics & Technology》;20180405;全文 *
Dynamic infrared scene simulation using grayscale modulation of digital micro-mirror device;Zhang Kai,Huang Yong,Yan Jie,Sun Li;《Chinese Journal of Aeronautics》;20130307;全文 *
Simultaneous projection mapping using high-frame-rate depth vision;Jun Chen; Takashi Yamamoto; Tadayoshi Aoyama; Takeshi Takaki; Id;《2014 IEEE International Conference on Robotics and Automation (ICRA)》;20140929;全文 *
光电***半实物仿真***技术概述;李保中,韩邦杰,李艳晓;《电光与控制》;20110430;全文 *
可见光成像制导半实物仿真中的图像生成技术;虞红,雷杰;《现代防御技术》;20161230;全文 *
基于光视觉的无人艇水面目标检测与跟踪研究;曾文静;《中国博士学位论文全文数据库·工程科技Ⅱ辑》;20140415;全文 *

Also Published As

Publication number Publication date
CN109799731A (en) 2019-05-24

Similar Documents

Publication Publication Date Title
CN108702437B (en) Method, system, device and storage medium for calculating depth map
WO2022100242A1 (en) Image processing method and apparatus, electronic device, and computer-readable storage medium
CN105096329B (en) Method for accurately correcting image distortion of ultra-wide-angle camera
CN108063932B (en) Luminosity calibration method and device
CN109191403A (en) Image processing method and device, electronic equipment, computer readable storage medium
CN108810423B (en) Illumination angle adjusting method and system based on image brightness gradient
CN113533256B (en) Method, device and equipment for determining spectral reflectivity
CN113409379B (en) Method, device and equipment for determining spectral reflectivity
US20200296323A1 (en) Video signal processing apparatus, video signal processing method, and video signal processing system
CN108204888A (en) A kind of emulation infrared dynamic scene simulator field calibration device
CN110225321A (en) The training sample data of keystone obtain system and method
CN109799731B (en) Multi-band optical radiation type semi-physical simulation method and system
US20190188841A1 (en) Image processing system, computer readable recording medium, and image processing method
CN106296627B (en) A kind of heteropical method correcting infrared imaging system
JP2018151832A (en) Information processing device, information processing method, and, program
CN103905738B (en) High dynamic range images generate system and method
US8199217B2 (en) Device and method for image processing, program, and imaging apparatus
CN108010071B (en) System and method for measuring brightness distribution by using 3D depth measurement
CN113411508B (en) Non-vision field imaging method based on camera brightness measurement
CN114928704A (en) Coding exposure high dynamic imaging method based on double DMDs
CN113936580B (en) Display screen brightness measurement model generation method and related device
WO2023211742A1 (en) Image processing method, electronic system and a non-transitory computer-readable medium
CN110503690B (en) Double-camera alignment method of hyperspectral video acquisition system
CN109658459A (en) Camera calibration method, device, electronic equipment and computer readable storage medium
KR101177365B1 (en) Synthetic infrared image injection apparatus

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant