A multi-channel transmission CUP-VISAR imaging system and reconstruction method

Abstract

The present invention discloses a multi-channel transmission CUP-VISAR imaging system and reconstruction method, proposes and designs a transmission multi-channel optical path, successfully realizes effective data collection, and the system adopts a transmission optical path, a diffractive optical element, etc., so that the system has significant advantages in compactness and miniaturization. At the same time, the feasibility and reliability of the present invention are preliminarily verified through actual experiments, which is of great significance for the subsequent acquisition of two-dimensional shock wave wavefront information and the expansion of shock wave diagnosis research.

Description

Technical Field

[0001] The present invention relates to the field of laser measurement technology, and more specifically, to a multi-channel transmission CUP-VISAR imaging system and a reconstruction method. Background Art

[0002] Shock wave diagnostic research plays an important role in the fields of inertial confinement fusion (ICF), equation of state research, and high energy density physics research. At present, the arbitrary reflective surface velocity interferometer (VISAR) is widely used in the field of ICF diagnosis. It mainly utilizes the optical Doppler effect, and converts the velocity information of the surface to be measured into interference fringe information through optical mixing technology. A streak camera with high time resolution is used as a recording device to obtain VISAR images with a spatial resolution better than 10μm, a time resolution better than 10ps, and a diagnostic window of more than 10ns, thereby obtaining the velocity information of the one-dimensional shock wave evolving over time. However, this technology can only provide one-dimensional information of the shock wave front by sacrificing the imaging field of view (FOV) of the streak camera.

[0003] With the development and maturity of ultrafast optics, existing technologies can no longer meet the needs of research. It is urgent to find and develop a new type of two-dimensional information diagnostic technology with ultra-high temporal and spatial resolution. In 2020, the compressed ultrafast imaging (CUP) two-dimensional VISAR technology (CUP-VISAR) based on compressed sensing theory was proposed. This technology samples the original signal at a sampling rate significantly lower than the Nyquist sampling theorem, and records the two-dimensional compressed image through the electronic offset effect of the streak tube of the streak camera with the slit fully opened. Then, the reconstruction algorithm is used to reconstruct the original signal from the size of the image. The size of the image is reconstructed from the two-dimensional compressed image The interference fringe image (3D cube) is obtained to obtain the 2D shock wave front information. However, the optical path of CUP-VISAR is currently based on a single reflective channel. The reflective optical path is large and prone to uneven light intensity. At the same time, the number of linear equations that a single channel can provide is far less than the number of unknown parameters, and the precision and accuracy of the solution are not high. Summary of the invention

[0004] One of the purposes of the present invention is to provide a multi-channel transmission CUP-VISAR imaging system to solve the technical problem of low precision and accuracy of single-channel CUP-VISAR solution in the prior art; one of the purposes of the present invention is to provide a reconstruction method for a multi-channel transmission CUP-VISAR imaging system.

[0005] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0006] A first aspect of the present invention provides a multi-channel transmission CUP-VISAR imaging system, comprising:

[0007] A probe light and light receiving component, wherein the probe light and light receiving component emits a probe light, and the probe light carries the target surface velocity information after being reflected by the target surface and enters the interferometer component;

[0008] An interferometer component, which converts the target surface velocity information carried by the probe light into Doppler mixing interference fringes;

[0009] A recording component includes a charge coupled device, a diffractive optical element and a streak camera. After the recording component splits the Doppler mixing interference fringes, one beam is recorded by the charge coupled device, and the other beam is recorded by the streak camera after passing through the diffractive optical element.

[0010] In the above-mentioned technical means, a diffractive optical element (DOE) is used to generate a multi-element diffraction image. A beam of light is divided into multiple beams of light, and each beam of light maintains its original characteristics, that is, a stripe image is divided into multiple identical stripe diffraction images, realizing multi-channel imaging. Multi-channel can provide twice or even several times more data than a single-channel optical path, that is, the number of unknown parameters is constant, and the number of linear equations to be solved is doubled or even several times, thereby improving the precision and accuracy of the CUP-VISAR solution.

[0011] Furthermore, the probe light and light receiving assembly includes a target surface, a laser, an optical fiber, a first beam splitter, a first reflector, a second reflector, a light receiving unit, a third reflector, a third lens and an aperture, wherein:

[0012] The laser outputs probe light, which is guided by optical fiber, and then projected onto the target surface after being transmitted through the first beam splitter, reflected by the first reflector, reflected by the second reflector, and received by the light receiving unit. The light carries target surface velocity information after being reflected, and then enters the interferometer assembly from the aperture placed at the focus of the third lens after being received by the light receiving unit, reflected by the second reflector, reflected by the first reflector, reflected by the first beam splitter, reflected by the third reflector, and collimated by the third lens.

[0013] Furthermore, the light receiving unit includes a first lens and a second lens which are arranged in sequence.

[0014] Further, the interferometer assembly includes a fourth lens, a second beam splitter, a fourth reflector, a fifth reflector, a third beam splitter and a fifth lens, wherein:

[0015] The probe light carrying the target surface velocity information is transmitted through the fourth lens and split by the second beam splitter in sequence, and then reflected by the fifth reflector and the fourth reflector respectively and then incident on the third beam splitter for interference, forming Doppler mixing interference fringes. The Doppler mixing interference fringes are incident on the recording component through the fifth lens.

[0016] Furthermore, the recording assembly further includes a fourth beam splitter, an eighth lens, a sixth reflector, a coding plate, a sixth lens and a seventh lens, wherein:

[0017] After the Doppler mixing interference fringes are split by the fourth beam splitter, one of the beams is sequentially transmitted by the eighth lens and reflected by the sixth reflector and then recorded by the charge coupled device;

[0018] Another beam is recorded by the streak camera after passing through the diffractive optical element, the coding plate, the sixth lens and the seventh lens in sequence, wherein the sixth lens and the seventh lens form a 4f optical system.

[0019] A second aspect of the present invention provides a reconstruction method according to the multi-channel transmission CUP-VISAR imaging system, comprising the following steps:

[0020] The streak camera records a compressed image :

[0021]

[0022] In the formula, represents the linear measurement matrix operator, which is known; Represents the time series stripe stereo data to be reconstructed;

[0023] By adding a priori constraints, we get the first optimization problem:

[0024]

[0025] In the formula, is the regularization term, for norm, is a positive parameter that depends on the noise variance;

[0026] With total variation, low rank and non-negativity as prior constraints, the first optimization problem can be expressed as the second optimization problem:

[0027]

[0028] In the formula, is the TV item, is a low-rank term, is a non-negative term, , , To adjust the parameters;

[0029] The rank function is convexly approximated as the nuclear norm for solution, and the second optimization problem is transformed into the third optimization problem:

[0030]

[0031] In the formula, is the number of nuclear norm items;

[0032] Introducing auxiliary variables , , , the third optimization problem is transformed into the fourth optimization problem:

[0033]

[0034] In the formula, , , are dual variables, , , All are augmented Lagrangian parameters;

[0035] Decomposing the fourth optimization problem into iterative solutions of X subproblem, U subproblem, V subproblem, W subproblem, dual variables, and augmented Lagrangian parameters;

[0036] Determine whether the current solution meets the convergence condition and update the number of iterations. If it meets the convergence condition or the number of iterations is not less than the preset maximum number of iterations, output the reconstructed time series stripe stereo data, otherwise continue to iterate the solution.

[0037] Furthermore, the X sub-problem is:

[0038]

[0039] The closed solution of the X subproblem is:

[0040]

[0041] In the formula, the subscript is the number of iterations, .

[0042] Furthermore, the U sub-problem is:

[0043]

[0044] The closed solution of the U subproblem is:

[0045]

[0046] In the formula, is the TV denoising operator;

[0047] The V subproblem is:

[0048]

[0049] The closed solution of the V subproblem is:

[0050]

[0051] In the formula, the orthogonal matrix , And the diagonal matrix for The singular value decomposition result of is the soft threshold function, is the threshold value;

[0052] The W subproblem is:

[0053]

[0054] The closed solution of the W subproblem is:

[0055] .

[0056] Furthermore, the iterative solution of the dual variables includes:

[0057]

[0058] The iterative solution of the augmented Lagrangian parameters includes:

[0059]

[0060] In the formula, and are the primal residual and the dual residual, respectively. ,at the same time , , , , and ; and is the balance factor, , ; is the residual tolerance, .

[0061] Furthermore, the convergence condition includes:

[0062] When the error is met The iteration stops when , where is the preset error, , Indicates the error, is the F-norm.

[0063] Compared with the prior art, the technical solution of the present invention has the following beneficial effects:

[0064] The present invention proposes a multi-channel transmission CUP-VISAR imaging system which successfully collects the required data. Its multi-channel reconstruction method effectively reconstructs the stripe image from the compressed image, and compared with the single-channel, the reconstructed image has better quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 A schematic diagram of a module of a multi-channel transmission CUP-VISAR imaging system provided by an embodiment of the present invention;

[0066] Figure 2 A schematic diagram of the structure of a probe light and light receiving assembly provided in an embodiment of the present invention;

[0067] Figure 3 A schematic diagram of the structure of an interferometer assembly provided in an embodiment of the present invention;

[0068] Figure 4 A schematic diagram of the structure of a recording component provided by an embodiment of the present invention;

[0069] Figure 5 A schematic diagram of the multi-channel transmission CUP-VISAR imaging principle provided by an embodiment of the present invention;

[0070] Figure 6 A schematic diagram of a multi-channel transmission CUP-VISAR reconstruction process provided by an embodiment of the present invention;

[0071] Figure 7 A multi-channel transmission CUP-VISAR reconstruction solution flow chart provided in an embodiment of the present invention;

[0072] FIG8 is an actually collected coded and compressed image provided by an embodiment of the present invention, wherein FIG8(a) is a multi-channel coded image, and FIG8(b) is a multi-channel compressed image;

[0073] Fig. 9 A schematic diagram of the reconstruction result of channel 1 in FIG8 provided in an embodiment of the present invention;

[0074] Fig.10 A schematic diagram of the reconstruction results of multiple channels in FIG8 provided by an embodiment of the present invention;

[0075] FIG11 is a schematic diagram comparing the reconstruction results of the 45th frame of the middle frame in FIG8 according to an embodiment of the present invention, wherein FIG11(a) is the single-channel reconstruction result of the 45th frame, and FIG11(b) is the multi-channel reconstruction result of the 45th frame. DETAILED DESCRIPTION

[0076] The drawings are for illustrative purposes only and should not be construed as limiting the present patent;

[0077] In order to better illustrate the present embodiment, some parts in the drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product;

[0078] It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0079] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0080] Example

[0081] The embodiment of the present invention provides a multi-channel transmission CUP-VISAR imaging system, such as Figure 1 As shown, including:

[0082] A probe light and light receiving component, wherein the probe light and light receiving component emits a probe light, and the probe light carries the target surface velocity information after being reflected by the target surface and enters the interferometer component;

[0083] An interferometer component, which converts the target surface velocity information carried by the probe light into Doppler mixing interference fringes;

[0084] A recording component includes a charge coupled device, a diffractive optical element and a streak camera. After the recording component splits the Doppler mixing interference fringes, one beam is recorded by the charge coupled device, and the other beam is recorded by the streak camera after passing through the diffractive optical element.

[0085] In this embodiment, a diffractive optical element (DOE) is used to generate a multi-element diffraction image, and a beam of light is divided into multiple beams of light, each beam of light retains its original characteristics, that is, a fringe image is divided into multiple identical fringe diffraction images, to achieve multi-channel imaging. Multi-channels can provide twice or even several times more data than a single-channel optical path, that is, the number of unknown parameters is constant, and the number of linear equations to be solved is doubled or even several times increased, thereby improving the precision and accuracy of the CUP-VISAR solution.

[0086] Furthermore, the probe light and the light receiving component are as follows Figure 2 As shown, it includes a target surface, a laser, an optical fiber, a first beam splitter, a first reflector, a second reflector, a light receiving unit, a third reflector, a third lens and an aperture, wherein:

[0087] The laser outputs probe light, which is guided by optical fiber, and then projected onto the target surface after being transmitted through the first beam splitter, reflected by the first reflector, reflected by the second reflector, and received by the light receiving unit. The light carries target surface velocity information after being reflected, and then enters the interferometer assembly from the aperture placed at the focus of the third lens after being received by the light receiving unit, reflected by the second reflector, reflected by the first reflector, reflected by the first beam splitter, reflected by the third reflector, and collimated by the third lens.

[0088] Furthermore, the light receiving unit includes a first lens and a second lens which are arranged in sequence.

[0089] In this embodiment, in the probe light and light receiving assembly, the probe light laser outputs longitudinal mode laser, which is guided by optical fiber and focused onto the target surface by the first beam splitter, the first reflector, the second reflector, and the light receiving system composed of the first lens and the second lens. According to the Doppler principle, the probe light carries the Doppler frequency shift information and is reflected by the target surface before returning from the original path. After being collected and collimated by the third reflector and the third lens, the probe light enters the interferometer assembly through the aperture placed at the focus of the lens.

[0090] In another embodiment, in the probe light and light receiving assembly, the probe light emitted by the laser is injected using spatial light. Spatial light injection is to guide the light emitted by the laser into the optical path step by step using a number of reflectors.

[0091] The differences between using optical fiber light guide and spatial light injection are:

[0092] Use optical fiber to introduce the probe light from the laser into the optical path. The laser and the light receiving system do not need to be placed together, and there is no space restriction. The coaxial adjustment of the optical path and the adjustment of the lighting position are easy to achieve. However, optical fiber has a speckle problem, which affects the signal quality.

[0093] Spatial light injection is used to introduce the probe light from the laser into the optical path. If the laser and the light receiving component are far apart or blocked, the position of the mirror is very demanding and the optical path adjustment is very troublesome. However, the advantage of spatial light is that it is clean and has high signal quality.

[0094] In a specific implementation, the injection method of the probe light is selected according to different requirements.

[0095] Furthermore, the interferometer component is as follows Figure 3 As shown, it includes a fourth lens, a second beam splitter, a fourth reflector, a fifth reflector, a third beam splitter and a fifth lens, wherein:

[0096] The probe light carrying the target surface velocity information is transmitted through the fourth lens and split by the second beam splitter in sequence, and then reflected by the fifth reflector and the fourth reflector respectively and then incident on the third beam splitter for interference, forming Doppler mixing interference fringes. The Doppler mixing interference fringes are incident on the recording component through the fifth lens.

[0097] In this embodiment, the probe light carrying the target surface velocity information enters the interferometer assembly composed of the front fourth lens, the fourth reflector, the second beam splitter, the fifth reflector, the third beam splitter and the rear fifth lens. The target surface velocity information carried by the probe light forms Doppler mixing interference fringes through the interferometer.

[0098] Furthermore, the recording component is as follows: Figure 4 As shown, it also includes a fourth beam splitter, an eighth lens, a sixth reflector, a coding plate, a sixth lens and a seventh lens, wherein:

[0099] After the Doppler mixing interference fringes are split by the fourth beam splitter, one of the beams is sequentially transmitted by the eighth lens and reflected by the sixth reflector and then recorded by the charge coupled device;

[0100] Another beam is recorded by the streak camera after passing through the diffractive optical element, the coding plate, the sixth lens and the seventh lens in sequence, wherein the sixth lens and the seventh lens form a 4f optical system.

[0101] In this embodiment, on the one hand, the interference fringes are introduced into the charge coupled device (CCD) camera for recording through the fourth beam splitter, the eighth lens and the sixth reflector, and the information recorded by the CCD is used to improve the quality of the reconstructed signal later. On the other hand, the interference fringes pass through the fourth beam splitter to reach the diffractive optical element (DOE) to produce a multivariate diffraction image (a beam of light is divided into multiple beams of light, each beam of light retains its original characteristics, that is, a stripe image is divided into multiple identical stripe diffraction images), and the multivariate diffraction image passes through different coding areas of the transmission coding plate and enters different areas of the streak camera through the 4f system composed of the sixth lens and the seventh lens. Finally, the recording of two-dimensional compressed observation images in different areas is realized under the offset and integration of the streak camera.

[0102] In the above embodiments, this embodiment adopts a transmissive optical path, and the system structure is simple and compact.

[0103] In a specific embodiment, the multi-channel transmission CUP-VISAR imaging principle is as follows: Figure 5 As shown, taking one-to-two DOE as an example, the imaging process of the streak camera branch in the recording component can be represented by the following mathematical model:

[0104]

[0105] In the formula, The pixel size is Time series stripe stereo data (or transient scenes) , is the observation matrix of different regions, are two-dimensional observation images recorded by different regions of the streak camera. , , is the space-time integral operator, is the time shear operator, , They are the spatial coding operators corresponding to different coding areas of the transmission type coding plate.

[0106] From the above formula and Figure 5 It can be seen that the multi-channel transmission CUP-VISAR imaging process is actually based on the compressed sensing theory. Under the premise of a known linear observation matrix operator A, the transient scene After encoding, cutting and integration, a compressed image that can be recorded by a streak camera is formed .

[0107] The second aspect of the present invention provides a reconstruction method according to the multi-channel transmission CUP-VISAR imaging system, based on the known prior knowledge of the forward model, from the compressed image Reconstructing time series stripe stereo data The following steps are involved:

[0108] The streak camera records a compressed image :

[0109]

[0110] In the formula, represents the linear measurement matrix operator, which is known; Represents the time series stripe stereo data to be reconstructed;

[0111] To reconstruct time series stripe stereo data , the above equation is solved. However, due to the number of unknowns in the above equation Far more than the number of equations , is a problem of solving an ill-conditioned equation. Usually, by adding a priori constraints, the first optimization problem is obtained:

[0112]

[0113] In the formula, is the regularization term, for norm, is a positive parameter that depends on the noise variance;

[0114] With total variation (TV), low rank and non-negativity as prior constraints, the first optimization problem can be expressed as the second optimization problem:

[0115]

[0116] In the formula, is the TV item, is a low-rank term, is a non-negative term, , , To adjust the parameters;

[0117] because It is an NP-hard problem. The rank function is convexly approximated as a nuclear norm to solve it. The second optimization problem is converted into the third optimization problem:

[0118]

[0119] In the formula, is the number of nuclear norm items;

[0120] Based on the PNP-ADMM framework, the third optimization problem is solved iteratively. Auxiliary variables are introduced , , , the third optimization problem is transformed into the fourth optimization problem:

[0121]

[0122] In the formula, , , are dual variables, , , All are augmented Lagrangian parameters;

[0123] Decomposing the fourth optimization problem into iterative solutions of X subproblem, U subproblem, V subproblem, W subproblem, dual variables, and augmented Lagrangian parameters;

[0124] Determine whether the current solution meets the convergence condition and update the number of iterations. If it meets the convergence condition or the number of iterations is not less than the preset maximum number of iterations, output the reconstructed time series stripe stereo data, otherwise continue to iterate the solution.

[0125] Furthermore, the X sub-problem is:

[0126]

[0127] The closed solution of the X subproblem is:

[0128]

[0129] In the formula, the subscript is the number of iterations, .

[0130] Furthermore, the U sub-problem is:

[0131]

[0132] The closed solution of the U subproblem is:

[0133]

[0134] In the formula, is the TV denoising operator;

[0135] The V subproblem is:

[0136]

[0137] The closed solution of the V subproblem is:

[0138]

[0139] In the formula, the orthogonal matrix , And the diagonal matrix for The singular value decomposition result of is the soft threshold function, is the threshold value;

[0140] The W subproblem is:

[0141]

[0142] The closed solution of the W subproblem is:

[0143] .

[0144] Furthermore, the iterative solution of the dual variables includes:

[0145]

[0146] The iterative solution of the augmented Lagrangian parameters includes:

[0147]

[0148] In the formula, and are the primal residual and the dual residual, respectively. ,at the same time , , , , and ; and is the balance factor, , ; is the residual tolerance, . Usually take , .

[0149] Furthermore, the determining whether the current solution meets the convergence condition and updating the number of iterations includes:

[0150] when satisfy or error satisfy When the iteration stops, the output is reconstructed , otherwise continue to update and update the number of iterations ,Right now .in, is the maximum number of iterations set, is the preset error, Indicates the error, is the F-norm.

[0151] In summary, in the multi-channel transmission CUP-VISAR imaging system, by optimizing and iteratively solving the above simple sub-problems, the time series stripe stereo data X is successfully reconstructed. The schematic diagram of the reconstruction process and the specific iterative solution flow chart are shown in the following figure. Figure 6 and Figure 7 shown.

[0152] The verification of the multi-channel perspective CUP-VISAR imaging system and reconstruction method is given below.

[0153] In order to verify the feasibility and reliability of the system and method, Figures 1 to 4 The optical path was built and data was collected. The collected data is shown in Figure 8, where serial numbers 1 and 2 are the encoding and compression images corresponding to channels 1 and 2 respectively. The probe light pulse width is ~45ns, and the scanning gear of the streak camera in the CUP-VISAR system is set to 500ns. Therefore, the number of frames for reconstructing the streak image is about 90 frames.

[0154] First, channel 1 is reconstructed, and the reconstruction result is as follows: Fig. 9 The multi-channel reconstruction results are shown in Fig.10 As shown, the reconstructed image of the intermediate frame 45 is shown in Figure 11.

[0155] Depend on Fig. 9 and Fig.10 By comparison, Fig.10 The stripe contours of multi-channel reconstruction are clearer. For a clearer and more intuitive view, the middle frame 45 is shown in Figure 8. By comparing area 1 and area 2, it can be clearly seen that the multi-channel reconstruction result is sharper and clearer, and the contour of the boundary between the second and third stripes is clearer.

[0156] The same or similar reference numerals correspond to the same or similar components;

[0157] The terms used in the drawings to describe positional relationships are only used for illustrative purposes and should not be construed as limiting this patent;

[0158] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the embodiments here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A multi-channel transmission CUP-VISAR imaging system, characterized in that: include: A probe light and light receiving component, wherein the probe light and light receiving component emits a probe light, and the probe light carries the target surface velocity information after being reflected by the target surface and enters the interferometer component; An interferometer component, which converts the target surface velocity information carried by the probe light into Doppler mixing interference fringes; A recording component, the recording component comprising a charge coupled device, a diffractive optical element and a streak camera, wherein after the recording component splits the Doppler mixing interference fringes, one of the beams is recorded by the charge coupled device, and the other beam is recorded by the streak camera after passing through the diffractive optical element; The recording assembly further includes a fourth beam splitter, an eighth lens, a sixth reflector, a coding plate, a sixth lens and a seventh lens, wherein: After the Doppler mixing interference fringes are split by the fourth beam splitter, one of the beams is sequentially transmitted by the eighth lens and reflected by the sixth reflector and then recorded by the charge coupled device; Another beam is recorded by the streak camera after passing through the diffractive optical element, the coding plate, the sixth lens and the seventh lens in sequence, wherein the sixth lens and the seventh lens form a 4f optical system.

2. The multi-channel transmission CUP-VISAR imaging system according to claim 1, characterized in that: The probe light and light receiving assembly includes a target surface, a laser, an optical fiber, a first beam splitter, a first reflector, a second reflector, a light receiving unit, a third reflector, a third lens and an aperture, wherein: The laser outputs probe light, which is guided by optical fiber, transmitted through the first beam splitter, reflected by the first reflector, reflected by the second reflector, and received by the light receiving unit, and then projected onto the target surface and carries target surface velocity information after reflection. The light is sequentially received by the light receiving unit, reflected by the second reflector, reflected by the first reflector, reflected by the first beam splitter, reflected by the third reflector, and collimated by the third lens, and then enters the interferometer assembly from the aperture placed at the focus of the third lens.

3. The multi-channel transmission CUP-VISAR imaging system according to claim 2, characterized in that: The light receiving unit includes a first lens and a second lens which are arranged in sequence.

4. The multi-channel transmission CUP-VISAR imaging system according to claim 1, characterized in that: The interferometer assembly includes a fourth lens, a second beam splitter, a fourth reflector, a fifth reflector, a third beam splitter and a fifth lens, wherein: The probe light carrying the target surface velocity information is transmitted through the fourth lens and split by the second beam splitter in sequence, and then reflected by the fifth reflector and the fourth reflector respectively and then incident on the third beam splitter for interference, forming Doppler mixing interference fringes. The Doppler mixing interference fringes are incident on the recording component through the fifth lens.

5. A reconstruction method for a multi-channel transmission CUP-VISAR imaging system according to any one of claims 1 to 4, characterized in that: The following steps are involved: The streak camera records a compressed image : In the formula, represents the linear measurement matrix operator, which is known; Represents the time series stripe stereo data to be reconstructed; By adding a priori constraints, we get the first optimization problem: In the formula, is the regularization term, for norm, is a positive parameter that depends on the noise variance; With total variation, low rank and non-negativity as prior constraints, the first optimization problem can be expressed as the second optimization problem: In the formula, is the TV item, is a low-rank term, is a non-negative term, , , To adjust the parameters; The rank function is convexly approximated as the nuclear norm for solution, and the second optimization problem is transformed into the third optimization problem: In the formula, is the number of nuclear norm items; Introducing auxiliary variables , , , the third optimization problem is transformed into the fourth optimization problem: In the formula, , , are dual variables, , , All are augmented Lagrangian parameters; Decomposing the fourth optimization problem into iterative solutions of X subproblem, U subproblem, V subproblem, W subproblem, dual variables, and augmented Lagrangian parameters; Determine whether the current solution meets the convergence condition and update the number of iterations. If it meets the convergence condition or the number of iterations is not less than the preset maximum number of iterations, output the reconstructed time series stripe stereo data, otherwise continue to iterate the solution.

6. The reconstruction method of the multi-channel transmission CUP-VISAR imaging system according to claim 5, characterized in that: The X subproblem is: The closed solution of the X subproblem is: In the formula, the subscript is the number of iterations, .

7. The reconstruction method of the multi-channel transmission CUP-VISAR imaging system according to claim 6, characterized in that: The U subproblem is: The closed solution of the U subproblem is: In the formula, is the TV denoising operator; The V subproblem is: The closed solution of the V subproblem is: In the formula, the orthogonal matrix , And the diagonal matrix for The singular value decomposition result of is the soft threshold function, is the threshold value; The W subproblem is: The closed solution of the W subproblem is: 。 8. The reconstruction method of the multi-channel transmission CUP-VISAR imaging system according to claim 7, characterized in that: The iterative solution of the dual variables includes: The iterative solution of the augmented Lagrangian parameters includes: In the formula, and are the primal residual and the dual residual, respectively. ,at the same time , , , , and ; and is the balance factor, , ; is the residual tolerance, .

9. The reconstruction method of the multi-channel transmission CUP-VISAR imaging system according to claim 8, characterized in that: The convergence conditions include: When the error is met The iteration stops when , where is the preset error, , Indicates the error, is the F-norm.

Images