CN105824030A - Sparse optical synthetic aperture imaging method based on subaperture shutter modulation phase difference method - Google Patents

Sparse optical synthetic aperture imaging method based on subaperture shutter modulation phase difference method Download PDF

Info

Publication number
CN105824030A
CN105824030A CN201610136241.8A CN201610136241A CN105824030A CN 105824030 A CN105824030 A CN 105824030A CN 201610136241 A CN201610136241 A CN 201610136241A CN 105824030 A CN105824030 A CN 105824030A
Authority
CN
China
Prior art keywords
aperture
sub
function
shutter
aberration
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.)
Pending
Application number
CN201610136241.8A
Other languages
Chinese (zh)
Inventor
马浩统
亓波
任戈
谢宗良
王智鹏
史建亮
崔占刚
姜洋
张美丽
周建伟
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.)
Institute of Optics and Electronics of CAS
Original Assignee
Institute of Optics and Electronics of CAS
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 Institute of Optics and Electronics of CAS filed Critical Institute of Optics and Electronics of CAS
Priority to CN201610136241.8A priority Critical patent/CN105824030A/en
Publication of CN105824030A publication Critical patent/CN105824030A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88—Lidar systems specially adapted for specific applications
    • G01S17/89—Lidar systems specially adapted for specific applications for mapping or imaging
    • G01S17/90—Lidar systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques

Abstract

The invention relates to a sparse optical synthetic aperture imaging method based on a subaperture shutter modulation phase difference method, and can be used for detecting aberration of all subapertures of a sparse optical synthetic aperture imaging system, co-phase error of multiple apertures and imaging beam atmospheric turbulence distortion and restoring the high-resolution image of a target in real time. Switching module is performed on each or multiple subapertures of the sparse optical synthetic aperture imaging system in turn by utilizing an electronic shutter, and the corresponding images are recorded by utilizing an image sensor. A series of recorded sub-images are processed by using the phase difference algorithm based on subaperture shutter modulation so that the subaperture aberration, the co-phase error of multiple apertures and the imaging beam atmospheric turbulence distortion can be detected simultaneously, and the high-resolution image of the target can be reconstructed. The sub-images having phase difference are generated by adopting shutter spatial modulation, and aberration detection and image restoration are integrated so that the method has advantages of being high in aberration detection precision, compact in structure, low in cost and convenient to use.

Description

A kind of sparse optical synthesis aperture formation method based on sub-aperture shutter phase modulation difference method
Technical field
The present invention relates to a kind of sparse optical synthesis aperture imaging new method, a kind of sparse optical synthesis aperture formation method based on sub-aperture shutter phase modulation difference method, the common phase error between sparse optical synthesis aperture imaging system sub-aperture aberration, multiple aperture and the distortion of imaging beam atmospheric turbulance, and the full resolution pricture of real-time rejuvenation target can be detected.
Background technology
Along with the development of science and technology, Aid of Space Remote Sensing Technology has been widely used in the numerous areas such as high-resolution imaging, military surveillance, astronomical observation and survey of deep space over the ground.Spatial resolution is to evaluate the important technology index of space remote sensor observing capacity, and resolution is the highest, and remote sensor is the strongest to the resolution capability of target detail, and the information of acquisition is the most.Therefore, high resolution optical imaging system will be the important embodiment of a National Airspace remote sensing scientific and technological strength, and Ye Shi various countries fall over each other the space optics technology of development.For the single port footpath optical system commonly used at present, certainly will system bore be increased in order to improve spatial resolution, but the increase of system bore is limited by factors such as material, technique, manufacturing cost, quality and payload bay volumes, also the volume and the quality that inevitably result in system increase simultaneously, bring difficulty to the transmitting of space based system.1970.American scholar Meinel proposes the concept of optical synthesis aperture, it is intended to utilizes the small-bore system easily manufactured to pass through optical instrument synthesis large aperture system, thus meets high-resolution imaging requirements.Optical synthesis aperture imaging, once proposition, just causes scholar's great interest in the industry, and fast development is got up in the world, and always one of international research focus.Except in air remote sensing field, this technology also has a wide range of applications in other technical field of imaging such as Laser Transmission, micro-imaging, three-dimensional imagings.
Optical synthesis aperture imaging system sixty-four dollar question is common phase problem.The image field that each sub-aperture produces must have identical phase place, could mutually strengthen at Airy disk center, make Airy disk narrow simultaneously, improves image resolution ratio, not so can only play the effect receiving luminous energy.Phase difference method, as Detection Techniques before a kind of indirect wave based on image, can be used for detecting the common phase error in optical synthesis aperture imaging system.As far back as U.S.'s ERIM laboratory in 1988, just phase difference method being used for detects segmented mirror telescope aberration performance and carried out preliminary study.1997, Lee and Roggemann et al. analyzed the problems such as feasibility and the precision of phase difference method aberration detection for space telescope NGST of future generation from point of theory.1998,Use phase difference method that Keck II type telescopic system sub-aperture aberration is detected with Kendrick et al..2009, in Star-9 system, RickKendrick of LockheedMartin company et al. used phase difference method to achieve common phase closed loop.The optical synthesis aperture imaging technique of currently used phase difference method yet suffers from multiple limitation: phase difference method is substantially a kind of inversion technique based on image, the image information according to gathering is needed to detect common phase error, the aberration being artificially introduced as prior information will certainly make missing image partial information, thus affects precision and the quality of restored image of common phase detection；Conventional phase difference method needs the image utilizing the such as additional optical elements such as grating, spectroscope to gather multiple image planes, the defocusing amount introduced as prior information is also required to accurate control platform, these complexities that will certainly increase system and cost, bring other system aberration and machine error simultaneously, affect the precision of common phase detection.
The present invention proposes a kind of sparse optical synthesis aperture formation method based on sub-aperture shutter phase modulation difference method, spatial modulation is carried out to produce the image series containing phase difference by electronic shutter, integrate aberration detection and image high-resolution is restored, sparse optical synthesis aperture formation method relative to the poor method of currently used conventional phase, due to without introducing extra light-splitting device and mechanical devices etc., so having high aberration detection accuracy and image restoration definition.It addition, the method is at aspects such as system structure, cost, eases of use, also there is obvious advantage.
Summary of the invention
In order to overcome the problem and the complexity of realization that prior art exists, the present invention proposes a kind of sparse optical synthesis aperture formation method based on sub-aperture shutter phase modulation difference method.
The technical solution used in the present invention is: a kind of sparse optical synthesis aperture formation method based on sub-aperture shutter phase modulation difference method, and the method includes the steps of:
Step (1), utilize electronic shutter that each sub-aperture of sparse optical synthesis aperture imaging system or multiple sub-aperture carry out switch modulation successively, and record successively with imageing sensor sparse synthesis aperture imaging system modulated after corresponding image；
Image series is processed by step (2), use based on sub-aperture shutter phase modulation difference algorithm, detects the common phase error between the aberration of sub-aperture, multiple aperture and the distortion of imaging beam atmospheric turbulance, and rebuilds the high-resolution image of target；Concrete Processing Algorithm is as follows:
Step A, set up object function E according to Maximum-likelihood estimation or Least-squares minimization theory:
E = Σ f x , f y Σ k = 0 K | D k ( f x , f y ) | 2 - Σ f x , f y Σ k = 0 K | D k ( f x , f y ) H k * ( f x , f y ) | 2 Σ k = 0 K | H k * ( f x , f y ) | 2 - - - ( 1 )
Wherein, K is the number of sparse aperture imaging system sub-aperture, Dk(fx,fy) it is the Fourier transformation of the subimage of collection, H after kth subsystem shutter is modulatedk(fx,fy) it is the optical transfer function of synthesis aperture imaging system after kth subsystem shutter is modulated,It is Hk(fx,fy) conjugation, wherein k is that the 0 all of shutter of expression is all in opening, fxAnd fyFor frequency domain coordinates；
According to Fourier optics theory, the optical transfer function of imaging system is the Fourier transformation of imaging system point spread function, and the point spread function of imaging system is determined by the pupil function of imaging system, and the pupil function of sparse aperture imaging system can be expressed as:
P k ( x , y ) = Σ q = 0 K p q ( x , y ) × w q , k d i v ( x , y ) × exp [ i w ( x , y ) ] - - - ( 2 )
Wherein, pq(x, y) is the pupil function of each sub-aperture,For the sub-aperture shutter introduced phase difference function of modulation, (x, y) is the aberration profile of sparse optical synthesis aperture imaging system to w, and the atmospheric turbulance including the common phase error between sub-aperture aberration, sub-aperture and imaging beam distorts；
w q , k d i v ( x , y ) = 0 q = k 1 q ≠ k - - - ( 3 )
In the process of implementation, the PHASE DISTRIBUTION represented based on Zernike combination of function is usedApproximate aberration w (x, distribution y) characterizing sparse optical synthesis aperture imaging system；
Wherein, φq(x y) is the PHASE DISTRIBUTION of q sub-aperture, Zn(x y) represents n-th order Zernike function, αnRepresenting the coefficient of n-th order Zernike function, object function E is Zernike function coefficients matrix { α1,1,α1,2,…,αK,NFunction；
Step B, employing stochastic parallel gradient descent (SPGD) algorithm optimization control the mode coefficient of Zernike function, until object function E minimizes, determine the mode coefficient distribution of Zernike function, the common phase error between sub-aperture aberration, sub-aperture and the distortion of imaging beam atmospheric turbulance can be detected；
The wave front aberration distribution that step C, basis detect, calculates the optical transfer function H of sparse optical synthesis aperture imaging systemk(fx,fy), utilize Wiener Helstrom wave filter can with the full resolution pricture of rejuvenation target,
R ( f x , f y , α ) = Σ k = 0 K D k ( f x , f y ) H k * ( f x , f y ) Σ k = 0 K | H k ( f x , f y ) | 2 - - - ( 5 )
R(fx,fy, α) and it is the Fourier transformation of target HD image.
Wherein, the method both can detect aberration, it is also possible to the picture rich in detail of rejuvenation target；Phase difference between subimage is present in the modulation intelligence of electronic shutter, does not introduce additional aberration, has high aberration detection accuracy and image restoration definition.
Wherein, the method not only goes for aberration detection and the recovery of image high-resolution of sparse telescope array system, it is also possible to the aberration detection and the image high-resolution that are applicable to burst formula minute surface splicing master lens system are restored.
Wherein, the optimized algorithm that the method is used is the one in stochastic parallel gradient descent (SPGD) algorithm, simulated annealing, genetic algorithm, climbing method, high-frequency vibration method, neural network algorithm.
Wherein, the algorithmic controller that the method is used can be computer, it is also possible to be IC chip.
Wherein, the method is not only suitable for the high-resolution imaging of point source, is also applied for the high-resolution imaging of Extended target.
Wherein, the method both can use Zernike group of functions incompatible expression PHASE DISTRIBUTION, it would however also be possible to employ Karhunen-Loeve combination of function and Lukosz-Zernike combination of function.
Wherein, each sub-aperture image light beam of synthesis aperture imaging system both can be modulated by the method successively, it is also possible to multiple sub-aperture image light beams are modulated by group technology the most simultaneously.
The present invention compared with prior art, has the advantage that
(1), sparse optical synthesis aperture formation method based on conventional phase difference method, need additionally to use secondary optics, by introducing defocusing amount and the method for light splitting, produce out-of-focus image, obtain the aberration of system based on focal plane image and out-of-focus image, the performance of secondary optics is proposed the requirement arrived very much.The present invention, by using electronic shutter to carry out spatial modulation, obtains comprising the image series of phase difference, does not introduce modulation error, have higher aberration measurement precision.
(2), the present invention in each sub-aperture of sparse optical synthesis aperture imaging system, only add an electronic shutter, reduce the system demand to other auxiliary optical components, simple and compact for structure, with low cost, stability is high.
Accompanying drawing explanation
Fig. 1 is 2 aperture telescope array compound imaging system structure schematic diagrams based on the modulation of sub-aperture shutter；
Fig. 2 is 4 aperture telescope array compound imaging System planes figures；
Fig. 3 is the inventive method aberration result of detection, and left figure is the aberration profile loaded, and right figure is the aberration profile of detection；
Fig. 4 is the inventive method synthetic aperture imaging target image high-resolution restoration result, and left figure is single aperture imaging broad image, and right figure is the four aperture synthetic aperture imaging pictures rich in detail recovered.
Detailed description of the invention
Below in conjunction with the accompanying drawings and detailed description of the invention further illustrates the present invention.
As a example by 2 aperture telescope array systems, sparse optical synthesis aperture imaging system structure based on the modulation of sub-aperture shutter is as it is shown in figure 1, be made up of two telescopes.In figure, 1 is telescope, and 2 is electronic shutter, and 3 is reflecting mirror, and 4 is bundling device, and 5 is imaging len, and 6 is imaging detection system, and 7 process computer for control.Control processes computer, on the one hand, control electronic shutter and realize the break-make successively of imaging beam, realize the spatial modulation to synthesis imaging system, on the other hand, control imaging detection system, gather corresponding modulation image, and modulation image is processed in real time, obtain common phase error between sub-aperture aberration, sub-aperture, the distortion of imaging beam atmospheric turbulance and the HD image of target.
As a example by 4 aperture imaging system, the present invention will be further described below.Fig. 2 show 4 aperture imaging system structural representation sketches, is made up of subsystem 1,2,3 and 4 respectively.Its concrete work process is:
(1) close the electronic shutter of closed subsystem 1, gather respective image；Open the electronic shutter of subsystem 1, close the electronic shutter of closed subsystem 2, gather respective image；Open the electronic shutter of subsystem 2, close the electronic shutter of closed subsystem 3, gather respective image；Open the electronic shutter of subsystem 3, close the electronic shutter of closed subsystem 4, gather respective image；Opening the electronic shutter of subsystem 4, keeping 4 electronic shutters is all opening, gathers respective image.
(2) use phase contrast algorithm based on the modulation of sub-aperture shutter that the 5 width subimages gathered are processed, the light beam common phase error between aberration and the multiple aperture of detection sub-aperture, and rebuild high-resolution image.Four aperture synthetic aperture imaging aberration detections and target image high-resolution restoration result are the most as shown in Figure 3 and Figure 4.In Fig. 3, left figure is the aberration profile loaded, and mainly includes the common phase error between multiple aperture and other aberration, and right figure is the aberration profile detected；Loading aberration profile and detection aberration profile is basically identical, root-mean-square error is less than 0.05 λ (λ is imaging beam wavelength).As seen from the figure, the inventive method can effectively detect the aberration profile of synthesis aperture imaging system and realize the high-resolution recovery of target image.
The above, the only detailed description of the invention in the present invention, but protection scope of the present invention is not limited thereto.As long as sparse optical synthesis aperture imaging system carries out spatial modulation by electronic shutter, and utilize phase contrast algorithm carry out common phase error detection and restore full resolution pricture, belong to protection scope of the present invention.

Claims (8)

1. a sparse optical synthesis aperture formation method based on sub-aperture shutter phase modulation difference method, it is characterised in that the method includes the steps of:
Step (1), utilize electronic shutter that each sub-aperture of sparse optical synthesis aperture imaging system or multiple sub-aperture carry out switch modulation successively, and record successively with imageing sensor sparse synthesis aperture imaging system modulated after corresponding image；
Image series is processed by step (2), use based on sub-aperture shutter phase modulation difference algorithm, detects the common phase error between the aberration of sub-aperture, multiple aperture and the distortion of imaging beam atmospheric turbulance, and rebuilds the high-resolution image of target；Concrete Processing Algorithm is as follows:
Step A, set up object function E according to Maximum-likelihood estimation or Least-squares minimization theory:
E = Σ f x , f y Σ k = 0 K | D k ( f x , f y ) | 2 - Σ f x , f y Σ k = 0 K | D k ( f x , f y ) H k * ( f x , f y ) | 2 Σ k = 0 K | H k * ( f x , f y ) | 2 - - - ( 1 )
Wherein, K is the number of sparse aperture imaging system sub-aperture, Dk(fx,fy) it is the Fourier transformation of the subimage of collection, H after kth subsystem shutter is modulatedk(fx,fy) it is the optical transfer function of synthesis aperture imaging system after kth subsystem shutter is modulated,It is Hk(fx,fy) conjugation, wherein k is that the 0 all of shutter of expression is all in opening, fxAnd fyFor frequency domain coordinates；
According to Fourier optics theory, the optical transfer function of imaging system is the Fourier transformation of imaging system point spread function, and the point spread function of imaging system is determined by the pupil function of imaging system, and the pupil function of sparse aperture imaging system can be expressed as:
P k ( x , y ) = Σ q = 0 K p q ( x , y ) × w q , k d i v ( x , y ) × exp [ i w ( x , y ) ] - - - ( 2 )
Wherein, pq(x, y) is the pupil function of each sub-aperture,For the sub-aperture shutter introduced phase difference function of modulation, (x, y) is the aberration profile of sparse optical synthesis aperture imaging system to w, and the atmospheric turbulance including the common phase error between sub-aperture aberration, sub-aperture and imaging beam distorts；
w q , k d i v ( x , y ) = 0 q = k 1 q ≠ k - - - ( 3 )
In the process of implementation, the PHASE DISTRIBUTION represented based on Zernike combination of function is usedApproximate aberration w (x, distribution y) characterizing sparse optical synthesis aperture imaging system；
Wherein, φq(x y) is the PHASE DISTRIBUTION of q sub-aperture, Zn(x y) represents n-th order Zernike function, αnRepresenting the coefficient of n-th order Zernike function, object function E is Zernike function coefficients matrix { α1,1,α1,2,…,αK,NFunction；
Step B, employing stochastic parallel gradient descent (SPGD) algorithm optimization control the mode coefficient of Zernike function, until object function E minimizes, determine the mode coefficient distribution of Zernike function, the common phase error between sub-aperture aberration, sub-aperture and the distortion of imaging beam atmospheric turbulance can be detected；
The wave front aberration distribution that step C, basis detect, calculates the optical transfer function H of sparse optical synthesis aperture imaging systemk(fx,fy), utilize Wiener Helstrom wave filter can with the full resolution pricture of rejuvenation target,
R ( f x , f y , α ) = Σ k = 0 K D k ( f x , f y ) H k * ( f x , f y ) Σ k = 0 K | H k ( f x , f y ) | 2 - - - ( 5 )
R(fx,fy, α) and it is the Fourier transformation of target HD image.
Sparse optical synthesis aperture formation method based on sub-aperture shutter phase modulation difference method the most according to claim 1, it is characterised in that the method both can detect aberration, it is also possible to the picture rich in detail of rejuvenation target；Phase difference between subimage is present in the modulation intelligence of electronic shutter, does not introduce additional aberration, has high aberration detection accuracy and image restoration definition.
Sparse optical synthesis aperture formation method based on sub-aperture shutter phase modulation difference method the most according to claim 1, it is characterized in that, the method not only goes for aberration detection and the recovery of image high-resolution of sparse telescope array system, it is also possible to the aberration detection and the image high-resolution that are applicable to burst formula minute surface splicing master lens system are restored.
Sparse optical synthesis aperture formation method based on sub-aperture shutter phase modulation difference method the most according to claim 1, it is characterized in that, the optimized algorithm that the method is used is the one in stochastic parallel gradient descent (SPGD) algorithm, simulated annealing, genetic algorithm, climbing method, high-frequency vibration method, neural network algorithm.
Sparse optical synthesis aperture formation method based on sub-aperture shutter phase modulation difference method the most according to claim 1, it is characterised in that the algorithmic controller that the method is used can be computer, it is also possible to be IC chip.
Sparse optical synthesis aperture formation method based on sub-aperture shutter phase modulation difference method the most according to claim 1, it is characterised in that the method is not only suitable for the high-resolution imaging of point source, is also applied for the high-resolution imaging of Extended target.
Sparse optical synthesis aperture formation method based on sub-aperture shutter phase modulation difference method the most according to claim 1, it is characterized in that, the method both can use Zernike group of functions incompatible expression PHASE DISTRIBUTION, it would however also be possible to employ Karhunen-Loeve combination of function and Lukosz-Zernike combination of function.
Sparse optical synthesis aperture formation method based on sub-aperture shutter phase modulation difference method the most according to claim 1, it is characterized in that, each sub-aperture image light beam of synthesis aperture imaging system both can be modulated by the method successively, it is also possible to multiple sub-aperture image light beams are modulated by group technology the most simultaneously.
CN201610136241.8A 2016-03-10 2016-03-10 Sparse optical synthetic aperture imaging method based on subaperture shutter modulation phase difference method Pending CN105824030A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610136241.8A CN105824030A (en) 2016-03-10 2016-03-10 Sparse optical synthetic aperture imaging method based on subaperture shutter modulation phase difference method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610136241.8A CN105824030A (en) 2016-03-10 2016-03-10 Sparse optical synthetic aperture imaging method based on subaperture shutter modulation phase difference method

Publications (1)

Publication Number Publication Date
CN105824030A true CN105824030A (en) 2016-08-03

Family

ID=56987346

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610136241.8A Pending CN105824030A (en) 2016-03-10 2016-03-10 Sparse optical synthetic aperture imaging method based on subaperture shutter modulation phase difference method

Country Status (1)

Country Link
CN (1) CN105824030A (en)

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106444056A (en) * 2016-12-09 2017-02-22 中国科学院光电技术研究所 Sparse optical synthetic aperture imaging device based on three apertures and light beam combination correction method of device
CN106596056A (en) * 2016-11-16 2017-04-26 苏州科技大学 Detection method for Piston error of sparse-aperture optical system
CN107450176A (en) * 2017-09-21 2017-12-08 中国科学院上海天文台 A kind of space sparse aperture telescope common phase control device and control method
CN107656363A (en) * 2017-10-31 2018-02-02 中国科学院光电技术研究所 A kind of optical synthesis aperture imaging telescope array common phase error detection method based on multi-wavelength phase-modulation
CN108196244A (en) * 2018-02-02 2018-06-22 北京理工大学 Fiber array phased array deflection emission system based on SPGD algorithms
CN108873305A (en) * 2018-07-04 2018-11-23 苏州科技大学 Design method of large-field-of-view two-trans Golay3 sparse aperture telescope
CN108955640A (en) * 2018-04-23 2018-12-07 中国科学院光电技术研究所 The restructural remote sensing camera in space based on synthetic aperture technique
CN110044498A (en) * 2019-04-18 2019-07-23 中国科学院光电技术研究所 A kind of Hartmann wave front sensor modal wavefront reconstruction method based on deep learning
CN110632616A (en) * 2019-11-08 2019-12-31 北京环境特性研究所 Micro-motion imaging method of airborne inverse synthetic aperture laser radar under sparse sampling
CN110646947A (en) * 2019-09-11 2020-01-03 中国科学院光电技术研究所 Pupil space modulation device and method
CN110794576A (en) * 2019-11-01 2020-02-14 中国科学院光电技术研究所 Optical synthetic aperture imaging telescope array eccentricity error detection method based on phase modulation
CN112327327A (en) * 2020-11-05 2021-02-05 哈尔滨工业大学 Laser radar imaging quality detection method and system based on genetic algorithm
CN114663304A (en) * 2022-03-16 2022-06-24 中国科学院光电技术研究所 Sparse prior-based optical synthetic aperture system imaging enhancement method
CN114660601A (en) * 2022-03-18 2022-06-24 中国科学院光电技术研究所 Vibration suppression method and device applied to synthetic aperture imaging system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101614883A (en) * 2009-07-29 2009-12-30 中国人民解放军国防科学技术大学 Multiple beam based on the random paralleling gradient descent algorithm is total to the target aiming control method
EP2527901A2 (en) * 2011-05-19 2012-11-28 Aeon Imaging, LLC Confocal imaging device using spatially modulated illumination with electronic rolling shutter detection
CN103398729A (en) * 2013-07-31 2013-11-20 中国科学院空间科学与应用研究中心 Compressed-sensing-based sparse aperture imaging system and method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101614883A (en) * 2009-07-29 2009-12-30 中国人民解放军国防科学技术大学 Multiple beam based on the random paralleling gradient descent algorithm is total to the target aiming control method
EP2527901A2 (en) * 2011-05-19 2012-11-28 Aeon Imaging, LLC Confocal imaging device using spatially modulated illumination with electronic rolling shutter detection
CN103398729A (en) * 2013-07-31 2013-11-20 中国科学院空间科学与应用研究中心 Compressed-sensing-based sparse aperture imaging system and method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
HAOTONG MA等: ""Synthetic aperture imaging by using spatial modulation diversity technology with stochastic parallel gradient descent algorithm"", 《OPTICS EXPRESS》 *

Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106596056A (en) * 2016-11-16 2017-04-26 苏州科技大学 Detection method for Piston error of sparse-aperture optical system
CN106596056B (en) * 2016-11-16 2019-07-12 苏州科技大学 A kind of detection method of sparse aperture optical system Piston error
CN106444056B (en) * 2016-12-09 2020-11-17 中国科学院光电技术研究所 Sparse optical synthetic aperture imaging device based on three apertures and light beam combination correction method thereof
CN106444056A (en) * 2016-12-09 2017-02-22 中国科学院光电技术研究所 Sparse optical synthetic aperture imaging device based on three apertures and light beam combination correction method of device
CN107450176A (en) * 2017-09-21 2017-12-08 中国科学院上海天文台 A kind of space sparse aperture telescope common phase control device and control method
CN107656363A (en) * 2017-10-31 2018-02-02 中国科学院光电技术研究所 A kind of optical synthesis aperture imaging telescope array common phase error detection method based on multi-wavelength phase-modulation
CN108196244A (en) * 2018-02-02 2018-06-22 北京理工大学 Fiber array phased array deflection emission system based on SPGD algorithms
CN108196244B (en) * 2018-02-02 2021-06-08 北京理工大学 Optical fiber array phased array deflection transmitting system based on SPGD algorithm
CN108955640A (en) * 2018-04-23 2018-12-07 中国科学院光电技术研究所 The restructural remote sensing camera in space based on synthetic aperture technique
CN108873305B (en) * 2018-07-04 2022-05-13 苏州科技大学 Design method of large-field-of-view two-trans Golay3 sparse aperture telescope
CN108873305A (en) * 2018-07-04 2018-11-23 苏州科技大学 Design method of large-field-of-view two-trans Golay3 sparse aperture telescope
CN110044498A (en) * 2019-04-18 2019-07-23 中国科学院光电技术研究所 A kind of Hartmann wave front sensor modal wavefront reconstruction method based on deep learning
CN110044498B (en) * 2019-04-18 2021-02-19 中国科学院光电技术研究所 Hartmann wavefront sensor mode wavefront restoration method based on deep learning
CN110646947A (en) * 2019-09-11 2020-01-03 中国科学院光电技术研究所 Pupil space modulation device and method
CN110646947B (en) * 2019-09-11 2021-08-13 中国科学院光电技术研究所 Pupil space modulation device and method
CN110794576A (en) * 2019-11-01 2020-02-14 中国科学院光电技术研究所 Optical synthetic aperture imaging telescope array eccentricity error detection method based on phase modulation
CN110632616A (en) * 2019-11-08 2019-12-31 北京环境特性研究所 Micro-motion imaging method of airborne inverse synthetic aperture laser radar under sparse sampling
CN110632616B (en) * 2019-11-08 2021-07-27 北京环境特性研究所 Micro-motion imaging method of airborne inverse synthetic aperture laser radar under sparse sampling
CN112327327A (en) * 2020-11-05 2021-02-05 哈尔滨工业大学 Laser radar imaging quality detection method and system based on genetic algorithm
CN112327327B (en) * 2020-11-05 2022-08-05 哈尔滨工业大学 Laser radar imaging quality detection method and system based on genetic algorithm
CN114663304A (en) * 2022-03-16 2022-06-24 中国科学院光电技术研究所 Sparse prior-based optical synthetic aperture system imaging enhancement method
CN114663304B (en) * 2022-03-16 2023-09-19 中国科学院光电技术研究所 Sparse prior-based optical synthetic aperture system imaging enhancement method
CN114660601A (en) * 2022-03-18 2022-06-24 中国科学院光电技术研究所 Vibration suppression method and device applied to synthetic aperture imaging system
CN114660601B (en) * 2022-03-18 2023-06-30 中国科学院光电技术研究所 Vibration suppression method and device applied to synthetic aperture imaging system

Similar Documents

Publication Publication Date Title
CN105824030A (en) Sparse optical synthetic aperture imaging method based on subaperture shutter modulation phase difference method
CN110443882B (en) Light field microscopic three-dimensional reconstruction method and device based on deep learning algorithm
CN101896856B (en) Depth of field extension for optical tomography
US7515767B2 (en) Image correction across multiple spectral regimes
Ten Brummelaar et al. The CLASSIC/CLIMB beam combiner at the CHARA array
US20110267508A1 (en) Digital camera with coded aperture rangefinder
CN103398729B (en) Compressed-sensing-based sparse aperture imaging system and method
JP6836321B2 (en) Acquisition of spectral information from moving objects
CN104793343A (en) Three-channel and single-Wollaston prism polarization imaging device and polarization information detecting method
CN105716725A (en) Laminated scanning based phase-difference wavefront detection and image restoration method
Badham et al. Photonic integrated circuit-based imaging system for SPIDER
CN104535188A (en) Static full-polarization imaging detection system and method for spatial frequency modulation
TWI687661B (en) Method and device for determining the complex amplitude of the electromagnetic field associated to a scene
CN103913234A (en) Fourier transform infrared imaging spectrometer based on multistage micro-reflector
US20100256967A1 (en) Variable sample mapping algorithm
CN105444888A (en) Chromatic aberration compensation method of hyperspectral imaging system
CN116579959B (en) Fusion imaging method and device for hyperspectral image
Shi et al. DCATT dispersed fringe sensor: modeling and experimenting with the transmissive phase plates
Rusin et al. The new two-image gravitational lens system CLASS B2319+ 051
CN105446111B (en) A kind of focusing method applied to digital hologram restructuring procedure
CN103913231A (en) Spatial-temporal union modulation Fourier transform imaging spectrometer based on light beam splitter
Rodríguez-Ramos et al. Wavefront and distance measurement using the CAFADIS camera
Xie et al. Restoration of sparse aperture images using spatial modulation diversity technology based on a binocular telescope testbed
Tang et al. Multi-image-distance imaging system for extending depth-of-field
CN105136315A (en) Real-time quantification phase retrieval apparatus

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20160803