CN111679287A - Active video three-dimensional hyperspectral imaging method - Google Patents

Active video three-dimensional hyperspectral imaging method Download PDF

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Publication number
CN111679287A
CN111679287A CN202010507729.3A CN202010507729A CN111679287A CN 111679287 A CN111679287 A CN 111679287A CN 202010507729 A CN202010507729 A CN 202010507729A CN 111679287 A CN111679287 A CN 111679287A
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frequency
target scene
light
spectral
laser
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CN111679287B (en
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刘扬阳
曾涛
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Aerospace Information Research Institute of CAS
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88Lidar systems specially adapted for specific applications
    • G01S17/89Lidar systems specially adapted for specific applications for mapping or imaging
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/28Investigating the spectrum
    • G01J3/2823Imaging spectrometer
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/02Systems using the reflection of electromagnetic waves other than radio waves
    • G01S17/06Systems determining position data of a target
    • G01S17/08Systems determining position data of a target for measuring distance only
    • G01S17/32Systems determining position data of a target for measuring distance only using transmission of continuous waves, whether amplitude-, frequency-, or phase-modulated, or unmodulated
    • G01S17/34Systems determining position data of a target for measuring distance only using transmission of continuous waves, whether amplitude-, frequency-, or phase-modulated, or unmodulated using transmission of continuous, frequency-modulated waves while heterodyning the received signal, or a signal derived therefrom, with a locally-generated signal related to the contemporaneously transmitted signal
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/48Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
    • G01S7/4802Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/48Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
    • G01S7/481Constructional features, e.g. arrangements of optical elements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/48Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
    • G01S7/491Details of non-pulse systems
    • G01S7/4912Receivers
    • G01S7/4913Circuits for detection, sampling, integration or read-out
    • G01S7/4914Circuits for detection, sampling, integration or read-out of detector arrays, e.g. charge-transfer gates

Abstract

The invention discloses an active video stereo hyperspectral imaging method, which comprises the steps of firstly, irradiating a target scene by using monochromatic beam-expanded laser with the frequency of f as a light source; a beam with the frequency of f + delta f is used as reference light at a receiving end through a frequency shift device, and the reference light and light reflected by the target scene are subjected to vector superposition on a detector; adjusting the frequency of the irradiated light in the step 1, and keeping the frequency of the reference light unchanged or the frequency beat frequency changed to enable the beat frequency delta f to be changed in an exponential law; and comparing the gray level sequence measured by each pixel of the target scene with the gray level sequence of the reference point to obtain the depth information of each point of the target scene relative to the reference point, and further obtaining the spectrum cube data of the target scene. The method can overcome the defects of low spatial resolution, few spectrum wave bands and no video image of the common spectrum scanning laser radar instrument.

Description

Active video three-dimensional hyperspectral imaging method
Technical Field
The invention relates to the technical field of spectral imaging, in particular to an active video three-dimensional hyperspectral imaging method.
Background
The imaging spectrometer can simultaneously acquire a two-dimensional space image and one-dimensional spectral information of a target, can visually reflect the geometric morphology of the target to be detected, can provide the physicochemical properties of the target, and is a detection means combined with a map. The hyperspectral imaging technology can realize the identification of an interested target, if the target is accurately identified and understood, more accurate information of an interested target area, such as the terrain and the landform of the target area, the accurate three-dimensional space position of the target and the like, especially the three-dimensional coordinate information of the target can directly influence the hitting precision, and meanwhile, the three-dimensional space information/depth information and spectral information of the target are obtained, and the problems can be solved by the stereo hyperspectral imaging technology.
The hyperspectral imaging technology is divided into a dispersion type, an interference type, a computed tomography type, a diffraction optical element type and the like in principle. In order to simultaneously acquire three-dimensional spatial information/depth information and spectral information of a target, in recent years, data acquisition and fusion by using various multi-sensor cooperation, for example, a laser radar imaging system and a visible/infrared camera cooperation mode, gradually appears. However, due to the differences of the imaging mechanism and the data acquisition continuity (lidar), the imaging lidar has the disadvantages as a detection means, for example, compared with passive camera imaging, the imaging lidar has the characteristics of low transverse resolution, lack of texture information of a target and insufficient flight stability of a vehicle-mounted/airborne platform, increases the registration difficulty of data acquired by different platforms, and greatly restricts the multidimensional data fusion processing precision and the information extraction efficiency, so that a scheme for integrally acquiring stereo imaging and hyperspectral imaging data is urgently needed from a data acquisition source.
Disclosure of Invention
The invention aims to provide an active video three-dimensional hyperspectral imaging method, which can overcome the defects of low spatial resolution, few spectral bands and no video image of a common spectral scanning laser radar instrument and is suitable for environment detection requirements needed in civil fields such as information industry, remote sensing perception and the like.
The purpose of the invention is realized by the following technical scheme:
an active video stereo hyperspectral imaging method, the method comprising:
step 1, using monochromatic beam expanding laser with frequency f as a light source to irradiate a target scene;
step 2, using a light beam with the frequency of f + delta f as reference light at a receiving end through a frequency shift device, and carrying out vector superposition on the reference light and light reflected by the target scene on a detector; wherein, Δ f is beat frequency, the gray scale of each pixel of the target scene can change in brightness and darkness due to different depths of corresponding object points, and the depth difference range corresponding to one brightness and darkness period is inversely proportional to the beat frequency Δ f;
step 3, adjusting the frequency of the irradiated light in the step 1, but keeping the frequency of the reference light unchanged or the frequency beat frequency change, so that the beat frequency delta f is changed in an exponential law;
step 4, comparing the gray level sequence measured by each pixel of the target scene with the gray level sequence of a reference point to obtain depth information of each point of the target scene relative to the reference point, and further obtaining spectrum cube data of the target scene; wherein the reference point is chosen near the center of the target scene.
According to the technical scheme provided by the invention, the method can overcome the defects of low spatial resolution, few spectrum wave bands and no video image of a common spectrum scanning laser radar instrument, and is suitable for environment detection requirements needed in civil fields such as information industry, remote sensing perception and the like.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a schematic flow chart of an active video stereoscopic hyperspectral imaging method according to an embodiment of the invention;
FIG. 2 is a schematic diagram of an optical path of active video stereoscopic hyperspectral imaging according to an embodiment of the invention;
fig. 3 is a schematic optical path diagram of a spectrum measurement mode according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention are 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 only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
The following will describe the embodiments of the present invention in further detail with reference to the accompanying drawings, and as shown in fig. 1, a schematic flow chart of an active video stereoscopic hyperspectral imaging method provided by the embodiments of the present invention is shown, where the method includes:
step 1, using monochromatic beam expanding laser with frequency f as a light source to irradiate a target scene;
fig. 2 is a schematic diagram of an optical path of the active video stereoscopic hyperspectral imaging according to the embodiment of the invention, and a laser light source irradiates a target scene through an optical component.
Step 2, using a light beam with the frequency of f + delta f as reference light at a receiving end through a frequency shift device, and carrying out vector superposition on the reference light and light reflected by the target scene on a detector;
as shown in fig. 2, reference light with a frequency of f + Δ f is obtained through a frequency shift device and a beam splitter, and vector-superposed with light reflected by the target scene on an area array detector. And delta f is beat frequency, the gray scale of each pixel of the target scene can change in brightness and darkness due to different depths of corresponding object points, and the depth difference range corresponding to one brightness and darkness period is inversely proportional to the beat frequency delta f.
Step 3, adjusting the frequency of the irradiated light in the step 1, but keeping the frequency of the reference light unchanged or the frequency beat frequency change, so that the beat frequency delta f is changed in an exponential law;
step 4, comparing the gray level sequence measured by each pixel of the target scene with the gray level sequence of a reference point to obtain depth information of each point of the target scene relative to the reference point, and further obtaining spectrum cube data of the target scene;
wherein the reference point is chosen near the center of the target scene.
In this step, in the process of acquiring the spectral cube data, the depth measurement accuracy and the unambiguous measurement range are respectively determined by the maximum Δ f and the minimum Δ f;
if a measurement accuracy of 0.1 meter and a 500 meter unambiguous measurement range are to be achieved, a maximum Δ f and a minimum Δ f require 1.5Ghz and 500kHz, respectively.
In a specific implementation, the method further includes a spectral measurement mode, as shown in fig. 3, a schematic light path diagram of the spectral measurement mode according to the embodiment of the present invention, and the specific process includes:
when monochromatic beam expanding laser is used as a light source to irradiate a target scene, the reference light is closed, a scene image of a spectral line is obtained on a detector, and the spectral resolution is determined by the monochromaticity of the irradiated light;
the wide-spectrum laser source covering visible light and near infrared is used as irradiation light, and the characteristic spectral line of a specific substance in the target scene is selected for irradiation, so that key spectral characteristic information of the target scene is obtained efficiently. Here, the number of spectral bands for direct detection of the spectrum can also be changed by changing the laser wavelength of the monochromatic expanded beam laser.
In a specific implementation, the specific substance may be a substance such as an obstacle that may be encountered in the field of unmanned driving, for example, skin, cotton, snow, plastic, metal, wood, and the like.
The spectrum measurement mode is used for directly detecting and acquiring the spectrum cube of a target scene through the light source, the laser frequency modulation timeliness is fully utilized, a plurality of parameters of multidimensional information are analyzed in real time in the detection process according to the self-adaptive sampling principle, the hyperspectral compressed sensing sparse reconstruction technology of multidimensional data is matched, the redundancy of detection data is reduced, and a foundation is laid for realizing a hyperspectral rapid active acquisition technology with extremely high spectrum band number (the spectrum band number is more than 300).
In addition, in the specific implementation, the frequency modulation frequency and the frequency difference can be adjusted by changing the laser wavelength of the laser light source, so that the distance depth extreme value which can be directly detected by laser ranging is changed.
It is noted that those skilled in the art will recognize that embodiments of the present invention are not described in detail herein. For example, the number of optical beam expanders in the imaging system and related parameters, including the aperture size and thickness of the converging lens and the optical materials used, can be adjusted as required.
In summary, the method according to the embodiment of the present invention utilizes a high-precision laser difference frequency technique and a phase depth inversion technique to achieve distance measurement and laser spectroscopy to achieve material property detection on the basis of broadband continuous frequency modulation laser light source research, thereby providing possibility for a spectrum/depth/image information integrated active acquisition technique.
The method can expand the civilized application range of the integrated detection technology of the three-dimensional depth information/spectral information in the intelligent unmanned vehicle, reduce the industrial engineering complexity, improve the spatial resolution, the spectral quality and the number of spectral bands of a recovered image, give smooth perception experience of the video environment, enhance the detection performance of the intelligent unmanned vehicle technology on the complex environment and the target, effectively improve the multi-target early warning, reconnaissance, tracking and identification capabilities, and enable the unmanned vehicle to autonomously make judgment of 'directly passing through a vs detour' when facing an obstacle, thereby enhancing the intelligent driving efficiency in the complex and variable environment.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (5)

1. An active video stereo hyperspectral imaging method, the method comprising:
step 1, using monochromatic beam expanding laser with frequency f as a light source to irradiate a target scene;
step 2, using a light beam with the frequency of f + delta f as reference light at a receiving end through a frequency shift device, and carrying out vector superposition on the reference light and light reflected by the target scene on a detector; wherein, Δ f is beat frequency, the gray scale of each pixel of the target scene can change in brightness and darkness due to different depths of corresponding object points, and the depth difference range corresponding to one brightness and darkness period is inversely proportional to the beat frequency Δ f;
step 3, adjusting the frequency of the irradiated light in the step 1, but keeping the frequency of the reference light unchanged or the frequency beat frequency change, so that the beat frequency delta f is changed in an exponential law;
step 4, comparing the gray level sequence measured by each pixel of the target scene with the gray level sequence of a reference point to obtain depth information of each point of the target scene relative to the reference point, and further obtaining spectrum cube data of the target scene; wherein the reference point is chosen near the center of the target scene.
2. The active video stereo hyperspectral imaging method according to claim 1, further comprising a spectral measurement mode, wherein the specific process is as follows:
when monochromatic beam expanding laser is used as a light source to irradiate a target scene, the reference light is closed, a scene image of a spectral line is obtained on a detector, and the spectral resolution is determined by the monochromaticity of the irradiated light;
the wide-spectrum laser source covering visible light and near infrared is used as irradiation light, and the characteristic spectral line of a specific substance in the target scene is selected for irradiation, so that key spectral characteristic information of the target scene is obtained efficiently.
3. The active video stereo hyperspectral imaging method according to claim 1,
the frequency modulation frequency and the frequency difference are adjusted by changing the laser wavelength of the laser light source, so that the distance depth extreme value which can be directly detected by laser ranging is changed.
4. The active video stereo hyperspectral imaging method according to claim 1,
in the spectral measurement mode, the number of spectral bands of the spectral direct detection is changed by changing the laser wavelength of the monochromatic expanded beam laser.
5. The active video stereoscopic hyperspectral imaging method according to claim 1, wherein in step 4, in the process of acquiring the spectral cube data, the depth measurement accuracy and the unambiguous measurement range are respectively determined by a maximum Δ f and a minimum Δ f;
to achieve a measurement accuracy of 0.1 meter and a 500 meter unambiguous measurement range, a maximum Δ f and a minimum Δ f would require 1Ghz and 500kHz, respectively.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102349205A (en) * 2009-03-06 2012-02-08 Imra美国公司 Optical scanning and imaging systems based on dual pulsed laser systems
US20150015692A1 (en) * 2012-01-30 2015-01-15 Scanadu Incorporated Spatial resolution enhancement in hyperspectral imaging
CN105571716A (en) * 2015-12-22 2016-05-11 哈尔滨工业大学 Traveling line sampling high spectral data object detection method based on difference and convolution kernel
CN106056591A (en) * 2016-05-25 2016-10-26 哈尔滨工业大学 Method for estimating urban density through fusion of optical spectrum image and laser radar data
CN106644077A (en) * 2016-12-22 2017-05-10 中国科学院西安光学精密机械研究所 Active and passive stereoscopic spectral imaging device with high-precision vision field matching function and detection method
CN110553992A (en) * 2019-08-12 2019-12-10 中电科仪器仪表有限公司 Infrared spectrum high-speed measurement system and method
US20200065582A1 (en) * 2018-08-21 2020-02-27 Battelle Memorial Institute Active hyperspectral imaging with a laser illuminator and without dispersion
CN110869695A (en) * 2017-04-19 2020-03-06 Drs网络和成像***公司 Active hyperspectral imaging equipment

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102349205A (en) * 2009-03-06 2012-02-08 Imra美国公司 Optical scanning and imaging systems based on dual pulsed laser systems
US20150015692A1 (en) * 2012-01-30 2015-01-15 Scanadu Incorporated Spatial resolution enhancement in hyperspectral imaging
CN105571716A (en) * 2015-12-22 2016-05-11 哈尔滨工业大学 Traveling line sampling high spectral data object detection method based on difference and convolution kernel
CN106056591A (en) * 2016-05-25 2016-10-26 哈尔滨工业大学 Method for estimating urban density through fusion of optical spectrum image and laser radar data
CN106644077A (en) * 2016-12-22 2017-05-10 中国科学院西安光学精密机械研究所 Active and passive stereoscopic spectral imaging device with high-precision vision field matching function and detection method
CN110869695A (en) * 2017-04-19 2020-03-06 Drs网络和成像***公司 Active hyperspectral imaging equipment
US20200065582A1 (en) * 2018-08-21 2020-02-27 Battelle Memorial Institute Active hyperspectral imaging with a laser illuminator and without dispersion
CN110553992A (en) * 2019-08-12 2019-12-10 中电科仪器仪表有限公司 Infrared spectrum high-speed measurement system and method

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
LIU YANGYANG等: "Generation of Carrier-Envelope Phase Stabilized Laser from", 《2017 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO)》 *
付成群等: "高光谱-激光共光路联测设计与试验", 《兵工学报》 *
刘东等: "大气遥感高光谱分辨率激光雷达研究进展", 《红外与激光工程》 *
相里斌等: "连续推扫计算光谱成像技术", 《光谱学与光谱分析》 *
马培培等: "紧凑型图像复分光谱成像***光学设计及优化", 《光子学报》 *

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