CN108120980A - A kind of implementation method of the FPGA of satellite-borne SAR multi-modal imaging signal processing algorithm - Google Patents
A kind of implementation method of the FPGA of satellite-borne SAR multi-modal imaging signal processing algorithm Download PDFInfo
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- CN108120980A CN108120980A CN201711325281.8A CN201711325281A CN108120980A CN 108120980 A CN108120980 A CN 108120980A CN 201711325281 A CN201711325281 A CN 201711325281A CN 108120980 A CN108120980 A CN 108120980A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/03—Details of HF subsystems specially adapted therefor, e.g. common to transmitter and receiver
- G01S7/032—Constructional details for solid-state radar subsystems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
- G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
- G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
- G01S13/9004—SAR image acquisition techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
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Abstract
The present invention discloses a kind of implementation method of the FPGA of satellite-borne SAR multi-modal imaging signal processing algorithm, includes the following steps：Step 1, satellite-borne SAR raw radar data and parameter profit are sent to fpga chip by host computer and gigabit Ethernet；Step 2, echo data is subjected to sub-aperture division, and calculates required parameter in sub-aperture PFA processing procedures；Step 3, Estimation of Doppler central frequency is carried out according to echo data；Step 4, sub- pore size data is carried out based on the distance of dimensional variation to processing；Step 5, orientation high-precision Sinc interpolation is carried out；Step 6, bidimensional FFT imagings are carried out and data are sent back into host computer by Ethernet；Step 7, radiant correction processing and weighting splicing are done to sub- subaperture image in host computer, is shown after doing histogram equalization in host computer.Such method can realize the unitized imaging to the wide data of satellite-borne SAR multi-mode wide swath, have the characteristics that high-precision, it is efficient.
Description
Technical field
The invention belongs to radar imaging technology field and digital signal processing technique field, more particularly to a kind of satellite-borne SAR
The implementation method of the FPGA of multi-modal imaging signal processing algorithm realizes that the satellite-borne SAR based on sub-aperture stitching is more using FPGA
Mode imaging processing.
Background technology
Satellite-borne synthetic aperture radar (SAR) is a kind of high-resolution imaging radar, it can be worked with round-the-clock round-the-clock, tool
Have the ability for penetrating soil and vegetation, have been widely used for battle reconnaissance, Hitting Effect Evaluation, target identification, resource exploration,
The key areas of many national defence such as environmental protection, the condition of a disaster detection and national economy.High resolution wide swath is satellite-borne SAR development
One of important directions.The remote sensing such as one side earthquake and disaster scenarios it assessment, target detection identification, military attack recruitment evaluation should
Very high requirement is proposed with the spatial resolution index to SAR image；Exploration that another aspect targets in ocean monitors, disaster area is met an urgent need
The ability that remote sensing applications requirement radar system is waited to possess wide cut imaging.The satellite-borne SAR of big mapping scene domain and more imaging patterns
Real Time Image System is increasingly becoming current research hotspot.
SAR Real-time processings system can carry out accident under conditions of round-the-clock, round-the-clock real-time on star
Wide area is observed and quick acquisition of information, so as to make correct decisions within the shorter time.Therefore research satellite-borne SAR is real-time
Imaging processing techniques have realistic meaning.Current Space-borne SAR Imaging treatment technology, typical imaging algorithm have range Doppler
(RD) algorithm, Chirp Scaling (CS) algorithms and wave-number domain (Omega-K) algorithm etc..And based on the sub-aperture stitching of PFA into
As algorithm, imaging precision is high, and processing speed is fast, and Irnaging procedures can be to band, slip a variety of satellite-borne SAR patterns such as pack and TOPS
Echo data carries out unitized processing, without being changed over according to operating mode as processing framework.
Field programmable gate array (Filed Programmable Gate Array, FPGA) has abundant look-up table
And register resources, using parallel processing manner, arithmetic speed is fast, low in energy consumption.SAR echo datas have that data volume is big, data
The characteristics of rate is high compared to DSP, using FPGA processing, can be rapidly completed FFT, complex multiplication addition, cordic algorithm
Etc. Digital Signal Processing basic operation.
The content of the invention
To realize high-precision, the processing of efficient satellite-borne SAR multi-modal imaging, the present invention provides a kind of satellite-borne SAR multi-mode
The implementation method of the FPGA of imaging signal Processing Algorithm is realized and unitized to the wide data of satellite-borne SAR multi-mode wide swath
Imaging.
In order to achieve the above objectives, solution of the invention is：
A kind of implementation method of the FPGA of satellite-borne SAR multi-modal imaging signal processing algorithm, includes the following steps：
Step 1, satellite-borne SAR raw radar data and parameter profit are sent to FPGA cores by host computer and gigabit Ethernet
Piece；
Step 2, echo data is subjected to sub-aperture division, and calculates required parameter in sub-aperture PFA processing procedures；
Step 3, Estimation of Doppler central frequency is carried out according to echo data；
Step 4, sub- pore size data is carried out based on the distance of dimensional variation to processing；
Step 5, orientation high-precision Sinc interpolation is carried out；
Step 6, bidimensional FFT imagings are carried out and data are sent back into host computer by Ethernet；
Step 7, radiant correction processing and weighting splicing are done to sub- subaperture image in host computer, do after histogram equalization
Host computer is shown.
In above-mentioned steps 2, when echo data is carried out sub-aperture division, if the satellite-borne SAR data of big bandwidth are divided into
It is dry to have the sub-aperture of lap and complete imaging.
The detailed content of above-mentioned steps 3 is：It realizes that dislocation is multiplied using shift register first and obtains auto-correlation function, then
Data deposit FIFO after multiplication is waited into addition corresponding with next line result, the data line finally obtained is tired out using floating-point
Device is added to carry out full flowing water floating-point to add up, the horizontal echo-signal for obtaining multiple range cells is averaged, then does by CORDIC cores
ATAN operates to obtain accurate doppler centroid.
The detailed content of above-mentioned steps 4 is：Satellite-borne SAR distance is read one by one first from DDR3SDRAM to carry out to pulse
Motion compensation, then using PCS principles multiplied again with FFT computings, often handled waited in the write-in DDR of a pulse transposition into
The processing of row orientation.
The detailed content of above-mentioned steps 5 is：By spaceborne data, Pulse by Pulse transposition is read from DDR first, double by SAR64
Accuracy floating-point echo data turns fixed point IP kernel by floating-point and is converted to fixed-point data, then the integer part for pinpointing echo data is made
For address ram, piecemeal storage echo data and fractional part, the weighted sum that echo data is completed by addressing operation obtain
SINC interpolation results.
The detailed content of above-mentioned steps 7 is：Orientation antenna direction is multiplied by orientation data field first in sub-aperture
The inverse of figure eliminates influence of the antenna radiation pattern to the point target echo amplitude of different azimuth position in sub-aperture, using weighting
Stitching algorithm be averaged to realize seamlessly transitting for overlapping region, obtains full aperture image, obtained full aperture image is converted into
Gray-scale map shows last imaging results figure in host computer after doing histogram equalization.
After using the above program, the present invention realizes Estimation of Doppler central frequency, sub-aperture using based on FPGA technology
A series of imaging signal process flows such as PFA imaging algorithms, radiant correction, image mosaic.First, it is wide to wide swath spaceborne
SAR echo datas carry out sub-aperture PFA imagings, and PFA algorithm performances influence from angle of squint, pass through orientation
Keystone is converted, and can be solved the more resolution elements walk problem away from imaging area centers scatter point, can be met spaceborne
SAR is comprehensive, high-resolution requirement；The scallop effect of sub-aperture image, and splicing energy are eliminated by radiant correction
Enough obtain a wide range of scene imaging result of satellite-borne SAR.The Irnaging procedures can be a variety of spaceborne to band, slip pack and TOPS etc.
SAR mode echoes data carry out unitized processing, without being changed over according to operating mode as processing framework.
Description of the drawings
Fig. 1 is the principle of the present invention Organization Chart；
Fig. 2 is Estimation of Doppler central frequency module frame chart；
Fig. 3 is sub-aperture PFA imaging flow charts；
Fig. 4 is orientation high-precision Sinc interpolating module block diagrams；
Fig. 5 is image mosaic display module figure；
Fig. 6 is MATLAB handling result figures；
Fig. 7 is FPGA handling result figures
Fig. 8 is the partial enlarged view of FPGA handling result figures；
Wherein, (a), (b), (c) are the partial enlarged view on airport in imaging results, harbour and mountain range respectively.
Specific embodiment
Below with reference to attached drawing, technical scheme and advantageous effect are described in detail.
As shown in Figure 1, it is the FPGA hardware realization system block diagram of the present invention.Space-borne SAR Imaging system is mainly by four cores
Core module is formed：The data transmission transposition module (caching of the transmission of satellite-borne SAR echo data to fpga chip and data in itself
And transposition), Estimation of Doppler central frequency module (accurate estimating Doppler centre frequency to improve picture quality), sub-aperture
PFA algorithm processing modules (cascade based on PCS and SINC interpolation is realized is compressed into picture to the bidimensional of sub- pore size data) and image
Tiled display module (multiple sub-aperture images do registration and the splicing of radiant correction and its image).
Data transmission transposition module is illustrated first.
PC ends and the IP address of fpga chip hardware end in host computer are set, satellite-borne SAR echo data and track are joined
Number is sent to fpga chip by data transmission module.
Ethernet module make use of tri-state Ethernet (Tri-Mode Ethernet MAC) IP kernel that Xilinx companies provide
And User Datagram Protocol (UDP) and receive buffering area (RX_FIFO) and send buffering area (TX_FIFO) come complete data receipts
Send out function.
DDR modules have used Xilinx companies to provide DDR3 memory interfaces (MIG) solution.The solution provides
Memory Controller Hub and physical layer design, user, which is based on the program, directly to be operated DDR memories, and orbit parameter is deposited
It stores up in parameter register, in satellite-borne SAR echo data deposit DDR3SDRAM.
Satellite-borne SAR data volume is big, and algorithm processing module is related to the ranks operation of data, to lead to after processing in distance
Cross the transposition that DDR realizes matrix.Using the direct-type fragmented storage method of high transposition efficiency, stored in same a line of SDRAM
The line feed time for reading data is greatly reduced in the row data and column data of equal length while being slightly increased and writing data line feed number
Number.
Next Estimation of Doppler central frequency module is illustrated.
According to wiener-Xin Xin theorems, the power spectrum function of random process is the Fourier transformation of its auto-correlation function.
Doppler center f is contained in the phase of auto-correlation functiondcInformation, therefore by estimating rτPhase, so that it may
To obtain fdc, it is shown below：
In specific implementation, horizontal echo is sampled with pulse recurrence frequency PRF, sampling interval T=1/PRF, related
Function is r (KT), is had at this time
Radar return data is are done shift LD conjugate multiplication by specific FPGA realization methods first, by the knot after multiplication
Fruit deposit FIFO cachings wait addition corresponding with next line result, and obtained last column data are carried out full flowing water floating number tires out
Add, constantly enter data into a ends of floating-point adder, b ends are the feedback at adder result end, when the delay of adder is 12
In the clock cycle, b ends result is set to 0 when not feeding back initially, acquired results are input in ring register simultaneously, left final
12 as a result, gained is last accumulation result.
Finally by CORDIC (Coordinate Rotation Digital Computer Coordinate Rotation Digitals calculating sides
Method) IP (Intelligence Property intellectual properties) core seeks arg { r (τ) }, f is obtained further according to formuladc。
Table 1 estimates the comparison of test result and theoretical value for Doppler center.
Table 1
Next sub-aperture PFA algorithm processing modules are illustrated.
The distance of sub-aperture image processing is multiplied by QP function first to the PFA algorithms based on change of scale are used：
In formula, c is the light velocity, and τ is the fast time, and k is chirp rate, δrIt is distance to the change of scale factor, RaFor antenna phase
Center is to the instantaneous distance of scene center.
Carry out Fourier transformation is done, multiplied by with filter function：
It is multiplied by QP function：
Wherein, fcFor carrier frequency.
Fourier transformation is carried out, is multiplied by motion compensation factor t=fc/(fc+fτ)·t：
Realized in FPGA it is above-mentioned it is a series of multiply again and Fourier transformation, and data transposition is stored in DDR, wherein
When doing FFT processing, FFT is handled using an IP kernel using time-multiplexed mode three times, saves great amount of hardware resources.
Orientation processing converts the correction of further remaining linear range walk using Keystone, i.e., by high-precision
Sinc interpolation operations realize conversion：
T=fc/(fc+fτ)·t' (7)
Wherein, t' is the time variable after orientation conversion.
It is converted by the Keystone of orientation, the more resolution elements away from imaging area centers scatter point can be solved and walked
Dynamic problem, can meet that satellite-borne SAR is comprehensive, high-resolution requirement.
Fig. 4 is specific implementation block diagram of the orientation interpolation based on FPGA.Orientation processing is using based on piecemeal in FPGA
The SINC interpolation methods of RAM groups, transposition reads distance to the floating data after processing from DDR, and floating data is converted to
Fixed-point data pinpoints the integer part of echo data as address ram, piecemeal storage echo data and fractional part, by seeking
The weighted sum that echo data is completed in location operation obtains SINC interpolation results.
Above-mentioned distance to after being disposed of orientation, realize the distance and bearing of two-dimensional signal to decoupling, then
It is bidimensional FFT and obtains sub-aperture image result.
Fig. 5 is image mosaic display module figure, and correction function is multiplied by orientation data field to eliminate day in sub-aperture
Influence of the line directional diagram to the point target echo amplitude of different azimuth position in sub-aperture, makes the point target of identical scattering strength exist
Identical brightness is presented on image.
Seamlessly transitting for overlapping region is realized using weighted average stitching algorithm.
The validity further illustrated the present invention below by measured data, actual measurement radar parameter are as shown in table 2.
Table 2
Entirely Space-borne SAR Imaging system is realized on the monolithic Virtex7-XC7VX6907 chips of Xilinx companies, system
Satellite-borne SAR data are done with distance to handle to the cascade sub-aperture of PCS and orientation Sinc interpolation, size of data 8192*8192,
Sub-aperture size of data is 8192*512, can be compatible with anyon aperture quantity at this time and no more than the sub-aperture of 8192*512 sizes
Footpath image procossing.
In the case where system frequency is 200MHz, 32 single-precision floating point sub-aperture numbers of 8192*512 pixels are handled
According to, distance to processing time be 0.24 second, orientation is 0.08 second, and bidimensional FFT is 0.05 second, can be real within the 5.92s times
Existing full aperture imaging.
Fig. 6 is MATLAB handling result figures, and Fig. 7 is FPGA handling result figures, it can be seen that two handling results substantially one
It causes, but the processing time of FPGA is but greatly reduced.
Fig. 8 (a) (b) (c) is respectively the partial enlarged view on airport in imaging results, harbour and mountain range, it can be seen that this is
Imaging resolution of uniting is high, and focusing effect is apparent and atural object is clearly demarcated, more can clearly show the important geographical distribution on island
Information and the tendency on mountain range, contrast and noise are higher.
Based on system above, the present invention provides a kind of realization of the FPGA of satellite-borne SAR multi-modal imaging signal processing algorithm
Method includes the following steps：
Step 1, satellite-borne SAR raw radar data and parameter profit are sent to FPGA cores by host computer and gigabit Ethernet
Piece；
Step 2, echo data is subjected to sub-aperture division and calculates sub-aperture PFA processing procedures using parameter calculating module
In the parameters such as required phase compensating factor；
In the step 2, echo data is first subjected to sub-aperture division first, the satellite-borne SAR data of big bandwidth are divided
There is the sub-aperture of lap to be several and complete imaging, full aperture processing is avoided to cause the image aliasing of orientation；
Step 3, Estimation of Doppler central frequency is carried out according to echo data；
In the step 3, realize that dislocation is multiplied using shift register first and obtain auto-correlation function, then will be after multiplication
Data deposit FIFO waits addition corresponding with next line result, and the data line finally obtained is carried out entirely using floating point accumulator
Flowing water floating-point adds up, and the horizontal echo-signal for obtaining multiple range cells is averaged, then is ATAN by CORDIC cores and operates basis
Formula obtains accurate doppler centroid.
Step 4, sub- pore size data is carried out based on the distance of dimensional variation to processing；
In the step 4, read satellite-borne SAR distance one by one first from DDR3SDRAM and carry out motion compensation to pulse, then
Using PCS principles carry out it is a series of multiply again with FFT computings, often handled and waited in the write-in DDR of a pulse transposition
Orientation processing；
Step 5, orientation high-precision Sinc interpolation is carried out；
In the step 5, after step 4 completion, by spaceborne data, Pulse by Pulse transposition is read from DDR first, will
SAR64 double-precision floating point echo datas turn fixed point IP kernel by floating-point and are converted to fixed-point data, then will pinpoint echo data
Integer part completes the weighting of echo data by addressing operation as address ram, piecemeal storage echo data and fractional part
Summation obtains SINC interpolation results；
Step 6, bidimensional FFT imagings are carried out and data are sent back into host computer by Ethernet；
In the step 6, by the son of orientation treated data do bidimensional FFT imagings obtain satellite-borne SAR target scene
Data are sent back host computer by aperture imaging result data by Ethernet；
Step 7, radiant correction processing and weighting splicing are done to sub- subaperture image in host computer, do after histogram equalization
Host computer is shown.
In the step 7, the inverse for being multiplied by orientation antenna radiation pattern to orientation data field first in sub-aperture comes
Influence of the antenna radiation pattern to the point target echo amplitude of different azimuth position in sub-aperture is eliminated, is spliced using weighted average and calculated
Method realizes seamlessly transitting for overlapping region, obtains full aperture image, obtained full aperture image is converted into gray-scale map, does straight
Last imaging results figure is shown in host computer after side's figure is balanced.
Above example is merely illustrative of the invention's technical idea, it is impossible to protection scope of the present invention is limited with this, it is every
According to technological thought proposed by the present invention, any change done on the basis of technical solution each falls within the scope of the present invention
Within.
Claims (6)
1. a kind of implementation method of the FPGA of satellite-borne SAR multi-modal imaging signal processing algorithm, it is characterised in that including walking as follows
Suddenly：
Step 1, satellite-borne SAR raw radar data and parameter profit are sent to fpga chip by host computer and gigabit Ethernet；
Step 2, echo data is subjected to sub-aperture division, and calculates required parameter in sub-aperture PFA processing procedures；
Step 3, Estimation of Doppler central frequency is carried out according to echo data；
Step 4, sub- pore size data is carried out based on the distance of dimensional variation to processing；
Step 5, orientation high-precision Sinc interpolation is carried out；
Step 6, bidimensional FFT imagings are carried out and data are sent back into host computer by Ethernet；
Step 7, radiant correction processing and weighting splicing are done to sub- subaperture image in host computer, is done after histogram equalization upper
Machine is shown.
2. a kind of implementation method of the FPGA of satellite-borne SAR multi-modal imaging signal processing algorithm as described in claim 1, special
Sign is：In the step 2, when echo data is carried out sub-aperture division, the satellite-borne SAR data of big bandwidth are divided into several
There is the sub-aperture of lap and complete imaging.
3. a kind of implementation method of the FPGA of satellite-borne SAR multi-modal imaging signal processing algorithm as described in claim 1, special
Sign is：The detailed content of the step 3 is：It realizes that dislocation is multiplied using shift register first and obtains auto-correlation function, then
Data deposit FIFO after multiplication is waited into addition corresponding with next line result, the data line finally obtained is tired out using floating-point
Device is added to carry out full flowing water floating-point to add up, the horizontal echo-signal for obtaining multiple range cells is averaged, then does by CORDIC cores
ATAN operates to obtain accurate doppler centroid.
4. a kind of implementation method of the FPGA of satellite-borne SAR multi-modal imaging signal processing algorithm as described in claim 1, special
Sign is：The detailed content of the step 4 is：Satellite-borne SAR distance is read one by one first from DDR3SDRAM to be transported to pulse
Dynamic compensation, then using PCS principles multiplied again with FFT computings, often handled and waited in the write-in DDR of a pulse transposition
Orientation processing.
5. a kind of implementation method of the FPGA of satellite-borne SAR multi-modal imaging signal processing algorithm as described in claim 1, special
Sign is：The detailed content of the step 5 is：By spaceborne data, Pulse by Pulse transposition is read from DDR first, double by SAR64
Accuracy floating-point echo data turns fixed point IP kernel by floating-point and is converted to fixed-point data, then the integer part for pinpointing echo data is made
For address ram, piecemeal storage echo data and fractional part, the weighted sum that echo data is completed by addressing operation obtain
SINC interpolation results.
6. a kind of implementation method of the FPGA of satellite-borne SAR multi-modal imaging signal processing algorithm as described in claim 1, special
Sign is：The detailed content of the step 7 is：Orientation antenna radiation pattern is multiplied by orientation data field first in sub-aperture
Inverse eliminate influence of the antenna radiation pattern to the point target echo amplitude of different azimuth position in sub-aperture, it is flat using weighting
Equal stitching algorithm realizes seamlessly transitting for overlapping region, obtains full aperture image, obtained full aperture image is converted into ash
Degree figure, last imaging results figure is shown in host computer after doing histogram equalization.
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| CN113376632A (en) * | 2021-05-18 | 2021-09-10 | 南京航空航天大学 | Large squint airborne SAR imaging method based on pretreatment and improved PFA |
| CN113484860A (en) * | 2021-07-06 | 2021-10-08 | 中国科学院空天信息创新研究院 | SAR image ocean front detection method and system based on Doppler center anomaly |
| CN114488148A (en) * | 2022-01-12 | 2022-05-13 | 南京航空航天大学 | Sparse TOPS-SAR-based imaging mode implementation method |
| CN118011397A (en) * | 2024-04-08 | 2024-05-10 | 中国科学院空天信息创新研究院 | Echo abnormality detection and compensation method |
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