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Optica Publishing Group
  • Current Optics and Photonics
  • Vol. 6,
  • Issue 3,
  • pp. 260-269
  • (2022)

Image Reconstruction Based on Deep Learning for the SPIDER Optical Interferometric System

Open Access Open Access

Abstract

Segmented planar imaging detector for electro-optical reconnaissance (SPIDER) is an emerging technology for optical imaging. However, this novel detection approach is faced with degraded imaging quality. In this study, a 6 × 6 planar waveguide is used after each lenslet to expand the field of view. The imaging principles of field-plane waveguide structures are described in detail. The local multiple-sampling simulation mode is adopted to process the simulation of the improved imaging system. A novel image-reconstruction algorithm based on deep learning is proposed, which can effectively address the defects in imaging quality that arise during image reconstruction. The proposed algorithm is compared to a conventional algorithm to verify its better reconstruction results. The comparison of different scenarios confirms the suitability of the algorithm to the system in this paper.

© 2022 Optical Society of Korea

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References

  • View by:

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    [Crossref] [PubMed]
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2021 (3)

2020 (3)

D. Chang, Y. Ding, J. Xie, A. K. Bhunia, X. Li, Z. Ma, M. Wu, J. Guo, Y. Z. Song, "The devil is in the channels: mutual-channel loss for fine-grained image classification," IEEE Trans. Image Process 29, 4683‒4695 (2020)
[Crossref] [PubMed]

Z. Ren, W. Luo, J. Yan, W. Liao, X. Yang, A. Yuille, H. Zha, "STFlow: self-taught optical flow estimation using pseudo labels," IEEE Trans. Image Process 29, 9113‒9124 (2020)
[Crossref] [PubMed]

Y. Zhang, J. Deng, G. Liu, J. Fei, H. Yang, "Simultaneous estimation of spatial frequency and phase based on an improved component cross-correlation algorithm for structured illumination microscopy," Curr. Opt. Photonics 4, 317‒325 (2020)

2019 (2)

W. Hasbi, Kamirul, M. Mukhayadi, U. Renner, "The impact of space-based AIS antenna orientation on in-orbit AIS detection performance," Appl. Sci. 9, 3319 (2019)
[Crossref]

G.-M. Lv, Q. Li, Y.-T. Chen, H.-J. Feng, J. Mu, "An improved scheme and numerical simulation of segmented planar imaging detector for electro-optical reconnaissance," Opt. Rev. 26, 664‒675 (2019)
[Crossref]

2018 (3)

L. Pratley, J. D. McEwen, M. d'Avezac, R. E. Carrillo, A. Onose, Y. Wiaux, "Robust sparse image reconstruction of radio interferometric observations with PURIFY," Mon. Not. R. Astron. Soc. 473, 1038‒1058 (2018)
[Crossref]

T. Su, G. Liu, K. E. Badham, S. T. Thurman, R. L. Kendrick, A. Duncan, D. Wuchenich, C. Ogden, G. Chriqui, S. Feng, J. Chun, S. J. B. Yoo, "Interferometric imaging using Si3N4 photonic integrated circuits for a SPIDER imager," Opt. Express 26, 12801‒12812 (2018)
[Crossref] [PubMed]

Z. Leihong, Y. Xiao, Z. Dawei, C. Jian, "Research on multiple-image encryption scheme based on Fourier transform and ghost imaging algorithm," Curr. Opt. Photonics 2, 315‒323 (2018)

2017 (1)

C. Saunders, D. Lobb, M. Sweeting, Y. Gao, "Building large telescopes in orbit using small satellites," Acta Astronaut. 141, 183‒195 (2017)
[Crossref]

2014 (1)

C. A. Metzler, A. Maleki, R. G. Baraniuk, "From denoising to compressed sensing," IEEE Trans. Inform. Theory 62, 5117‒5144 (2014)
[Crossref]

2013 (1)

C. Li, W. Yin, H. Jiang, Y. Zhang, "An efficient augmented Lagrangian method with applications to total variation minimization," Comput. Optim. Appl. 56, 507‒530 (2013)
[Crossref]

2007 (1)

K. Dabov, A. Foi, V. Katkovnik, K. Egiazarian, "Image denoising by sparse 3-D transform-domain collaborative filtering," IEEE Trans. Image Process. 16, 2080‒2095 (2007)
[Crossref] [PubMed]

2004 (1)

Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli, "Image quality assessment: from error visibility to structural similarity," IEEE Trans. Image Process. 13, 600‒612 (2004)
[Crossref] [PubMed]

2002 (1)

O. Guyon, "Wide field interferometric imaging with single-mode fibers," Astron. Astrophys. 387, 366‒378 (2002)
[Crossref]

Arora, A.

S. W. Zamir, A. Arora, A. Gupta, S. Khan, G. Sun, F. S. Khan, F. Zhu, L. Shao, G.-S. Xia, X. Bai, iSAID: a large-scale dataset for instance segmentation in aerial images Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops .

Ashok, A.

K. Kulkarni, S. Lohit, P. Turaga, R. Kerviche, A. Ashok, ReconNet: non-iterative reconstruction of images from compressively sensed measurements Proc. IEEE Conference on Computer Vision and Pattern Recognition-CVPR .

Badham, K. E.

Bai, X.

S. W. Zamir, A. Arora, A. Gupta, S. Khan, G. Sun, F. S. Khan, F. Zhu, L. Shao, G.-S. Xia, X. Bai, iSAID: a large-scale dataset for instance segmentation in aerial images Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops .

Baraniuk, R. G.

C. A. Metzler, A. Maleki, R. G. Baraniuk, "From denoising to compressed sensing," IEEE Trans. Inform. Theory 62, 5117‒5144 (2014)
[Crossref]

Bengio, Y.

X. Glorot, A. Bordes, Y. Bengio, Deep sparse rectifier neural networks Proc. Proceedings of the 14th International Conference on Artificial Intelligence and Statistics .

Bhunia, A. K.

D. Chang, Y. Ding, J. Xie, A. K. Bhunia, X. Li, Z. Ma, M. Wu, J. Guo, Y. Z. Song, "The devil is in the channels: mutual-channel loss for fine-grained image classification," IEEE Trans. Image Process 29, 4683‒4695 (2020)
[Crossref] [PubMed]

Bordes, A.

X. Glorot, A. Bordes, Y. Bengio, Deep sparse rectifier neural networks Proc. Proceedings of the 14th International Conference on Artificial Intelligence and Statistics .

Bovik, A. C.

Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli, "Image quality assessment: from error visibility to structural similarity," IEEE Trans. Image Process. 13, 600‒612 (2004)
[Crossref] [PubMed]

Bu, Y.

J. Xue, Y.-Q. Zhao, Y. Bu, W. Liao, J. C.-W. Chan, W. Philips, "Spatial-spectral structured sparse low-rank representation for hyperspectral image super-resolution," IEEE Trans. Image Process 30, 3084‒3097 (2021)
[Crossref] [PubMed]

Carrillo, R. E.

L. Pratley, J. D. McEwen, M. d'Avezac, R. E. Carrillo, A. Onose, Y. Wiaux, "Robust sparse image reconstruction of radio interferometric observations with PURIFY," Mon. Not. R. Astron. Soc. 473, 1038‒1058 (2018)
[Crossref]

Chan, J. C.-W.

J. Xue, Y.-Q. Zhao, Y. Bu, W. Liao, J. C.-W. Chan, W. Philips, "Spatial-spectral structured sparse low-rank representation for hyperspectral image super-resolution," IEEE Trans. Image Process 30, 3084‒3097 (2021)
[Crossref] [PubMed]

Chang, D.

D. Chang, Y. Ding, J. Xie, A. K. Bhunia, X. Li, Z. Ma, M. Wu, J. Guo, Y. Z. Song, "The devil is in the channels: mutual-channel loss for fine-grained image classification," IEEE Trans. Image Process 29, 4683‒4695 (2020)
[Crossref] [PubMed]

Chen, Y.-T.

G.-M. Lv, Q. Li, Y.-T. Chen, H.-J. Feng, J. Mu, "An improved scheme and numerical simulation of segmented planar imaging detector for electro-optical reconnaissance," Opt. Rev. 26, 664‒675 (2019)
[Crossref]

Chriqui, G.

Chun, J.

Dabov, K.

K. Dabov, A. Foi, V. Katkovnik, K. Egiazarian, "Image denoising by sparse 3-D transform-domain collaborative filtering," IEEE Trans. Image Process. 16, 2080‒2095 (2007)
[Crossref] [PubMed]

Darrell, T.

J. Long, E. Shelhamer, T. Darrell, Fully convolutional networks for semantic segmentation Proc. IEEE Conference on Computer Vision and Pattern Recognition-CVPR .

d'Avezac, M.

L. Pratley, J. D. McEwen, M. d'Avezac, R. E. Carrillo, A. Onose, Y. Wiaux, "Robust sparse image reconstruction of radio interferometric observations with PURIFY," Mon. Not. R. Astron. Soc. 473, 1038‒1058 (2018)
[Crossref]

Dawei, Z.

Z. Leihong, Y. Xiao, Z. Dawei, C. Jian, "Research on multiple-image encryption scheme based on Fourier transform and ghost imaging algorithm," Curr. Opt. Photonics 2, 315‒323 (2018)

Deng, J.

Y. Zhang, J. Deng, G. Liu, J. Fei, H. Yang, "Simultaneous estimation of spatial frequency and phase based on an improved component cross-correlation algorithm for structured illumination microscopy," Curr. Opt. Photonics 4, 317‒325 (2020)

Ding, Y.

D. Chang, Y. Ding, J. Xie, A. K. Bhunia, X. Li, Z. Ma, M. Wu, J. Guo, Y. Z. Song, "The devil is in the channels: mutual-channel loss for fine-grained image classification," IEEE Trans. Image Process 29, 4683‒4695 (2020)
[Crossref] [PubMed]

Duncan, A.

T. Su, G. Liu, K. E. Badham, S. T. Thurman, R. L. Kendrick, A. Duncan, D. Wuchenich, C. Ogden, G. Chriqui, S. Feng, J. Chun, S. J. B. Yoo, "Interferometric imaging using Si3N4 photonic integrated circuits for a SPIDER imager," Opt. Express 26, 12801‒12812 (2018)
[Crossref] [PubMed]

R. P. Scott, T. Su, C. Ogden, S. T. Thurman, R. L. Kendrick, A. Duncan, R. Yu, S. J. B. Yoo, Demonstration of a photonic integrated circuit for multi-baseline interferometric imagingProc. IEEE Photonics Conference Proc. IEEE Photonics Conference .

Egiazarian, K.

K. Dabov, A. Foi, V. Katkovnik, K. Egiazarian, "Image denoising by sparse 3-D transform-domain collaborative filtering," IEEE Trans. Image Process. 16, 2080‒2095 (2007)
[Crossref] [PubMed]

Fei, J.

Y. Zhang, J. Deng, G. Liu, J. Fei, H. Yang, "Simultaneous estimation of spatial frequency and phase based on an improved component cross-correlation algorithm for structured illumination microscopy," Curr. Opt. Photonics 4, 317‒325 (2020)

Feng, H.-J.

G.-M. Lv, Q. Li, Y.-T. Chen, H.-J. Feng, J. Mu, "An improved scheme and numerical simulation of segmented planar imaging detector for electro-optical reconnaissance," Opt. Rev. 26, 664‒675 (2019)
[Crossref]

Feng, Q.

Feng, S.

Foi, A.

K. Dabov, A. Foi, V. Katkovnik, K. Egiazarian, "Image denoising by sparse 3-D transform-domain collaborative filtering," IEEE Trans. Image Process. 16, 2080‒2095 (2007)
[Crossref] [PubMed]

Gao, W.

Gao, Y.

C. Saunders, D. Lobb, M. Sweeting, Y. Gao, "Building large telescopes in orbit using small satellites," Acta Astronaut. 141, 183‒195 (2017)
[Crossref]

Glorot, X.

X. Glorot, A. Bordes, Y. Bengio, Deep sparse rectifier neural networks Proc. Proceedings of the 14th International Conference on Artificial Intelligence and Statistics .

Guo, J.

D. Chang, Y. Ding, J. Xie, A. K. Bhunia, X. Li, Z. Ma, M. Wu, J. Guo, Y. Z. Song, "The devil is in the channels: mutual-channel loss for fine-grained image classification," IEEE Trans. Image Process 29, 4683‒4695 (2020)
[Crossref] [PubMed]

Gupta, A.

S. W. Zamir, A. Arora, A. Gupta, S. Khan, G. Sun, F. S. Khan, F. Zhu, L. Shao, G.-S. Xia, X. Bai, iSAID: a large-scale dataset for instance segmentation in aerial images Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops .

Guyon, O.

O. Guyon, "Wide field interferometric imaging with single-mode fibers," Astron. Astrophys. 387, 366‒378 (2002)
[Crossref]

Hasbi, W.

W. Hasbi, Kamirul, M. Mukhayadi, U. Renner, "The impact of space-based AIS antenna orientation on in-orbit AIS detection performance," Appl. Sci. 9, 3319 (2019)
[Crossref]

Hu, H.

Jian, C.

Z. Leihong, Y. Xiao, Z. Dawei, C. Jian, "Research on multiple-image encryption scheme based on Fourier transform and ghost imaging algorithm," Curr. Opt. Photonics 2, 315‒323 (2018)

Jiang, H.

C. Li, W. Yin, H. Jiang, Y. Zhang, "An efficient augmented Lagrangian method with applications to total variation minimization," Comput. Optim. Appl. 56, 507‒530 (2013)
[Crossref]

Kamirul,

W. Hasbi, Kamirul, M. Mukhayadi, U. Renner, "The impact of space-based AIS antenna orientation on in-orbit AIS detection performance," Appl. Sci. 9, 3319 (2019)
[Crossref]

Katkovnik, V.

K. Dabov, A. Foi, V. Katkovnik, K. Egiazarian, "Image denoising by sparse 3-D transform-domain collaborative filtering," IEEE Trans. Image Process. 16, 2080‒2095 (2007)
[Crossref] [PubMed]

Kendrick, R. L.

T. Su, G. Liu, K. E. Badham, S. T. Thurman, R. L. Kendrick, A. Duncan, D. Wuchenich, C. Ogden, G. Chriqui, S. Feng, J. Chun, S. J. B. Yoo, "Interferometric imaging using Si3N4 photonic integrated circuits for a SPIDER imager," Opt. Express 26, 12801‒12812 (2018)
[Crossref] [PubMed]

R. P. Scott, T. Su, C. Ogden, S. T. Thurman, R. L. Kendrick, A. Duncan, R. Yu, S. J. B. Yoo, Demonstration of a photonic integrated circuit for multi-baseline interferometric imagingProc. IEEE Photonics Conference Proc. IEEE Photonics Conference .

Kerviche, R.

K. Kulkarni, S. Lohit, P. Turaga, R. Kerviche, A. Ashok, ReconNet: non-iterative reconstruction of images from compressively sensed measurements Proc. IEEE Conference on Computer Vision and Pattern Recognition-CVPR .

Khan, F. S.

S. W. Zamir, A. Arora, A. Gupta, S. Khan, G. Sun, F. S. Khan, F. Zhu, L. Shao, G.-S. Xia, X. Bai, iSAID: a large-scale dataset for instance segmentation in aerial images Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops .

Khan, S.

S. W. Zamir, A. Arora, A. Gupta, S. Khan, G. Sun, F. S. Khan, F. Zhu, L. Shao, G.-S. Xia, X. Bai, iSAID: a large-scale dataset for instance segmentation in aerial images Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops .

Kulkarni, K.

K. Kulkarni, S. Lohit, P. Turaga, R. Kerviche, A. Ashok, ReconNet: non-iterative reconstruction of images from compressively sensed measurements Proc. IEEE Conference on Computer Vision and Pattern Recognition-CVPR .

Leihong, Z.

Z. Leihong, Y. Xiao, Z. Dawei, C. Jian, "Research on multiple-image encryption scheme based on Fourier transform and ghost imaging algorithm," Curr. Opt. Photonics 2, 315‒323 (2018)

Li, C.

C. Li, W. Yin, H. Jiang, Y. Zhang, "An efficient augmented Lagrangian method with applications to total variation minimization," Comput. Optim. Appl. 56, 507‒530 (2013)
[Crossref]

Li, Q.

G.-M. Lv, Q. Li, Y.-T. Chen, H.-J. Feng, J. Mu, "An improved scheme and numerical simulation of segmented planar imaging detector for electro-optical reconnaissance," Opt. Rev. 26, 664‒675 (2019)
[Crossref]

Li, X.

D. Chang, Y. Ding, J. Xie, A. K. Bhunia, X. Li, Z. Ma, M. Wu, J. Guo, Y. Z. Song, "The devil is in the channels: mutual-channel loss for fine-grained image classification," IEEE Trans. Image Process 29, 4683‒4695 (2020)
[Crossref] [PubMed]

Liao, W.

J. Xue, Y.-Q. Zhao, Y. Bu, W. Liao, J. C.-W. Chan, W. Philips, "Spatial-spectral structured sparse low-rank representation for hyperspectral image super-resolution," IEEE Trans. Image Process 30, 3084‒3097 (2021)
[Crossref] [PubMed]

Z. Ren, W. Luo, J. Yan, W. Liao, X. Yang, A. Yuille, H. Zha, "STFlow: self-taught optical flow estimation using pseudo labels," IEEE Trans. Image Process 29, 9113‒9124 (2020)
[Crossref] [PubMed]

Liu, C.

Liu, G.

Y. Zhang, J. Deng, G. Liu, J. Fei, H. Yang, "Simultaneous estimation of spatial frequency and phase based on an improved component cross-correlation algorithm for structured illumination microscopy," Curr. Opt. Photonics 4, 317‒325 (2020)

T. Su, G. Liu, K. E. Badham, S. T. Thurman, R. L. Kendrick, A. Duncan, D. Wuchenich, C. Ogden, G. Chriqui, S. Feng, J. Chun, S. J. B. Yoo, "Interferometric imaging using Si3N4 photonic integrated circuits for a SPIDER imager," Opt. Express 26, 12801‒12812 (2018)
[Crossref] [PubMed]

Liu, S.

Lobb, D.

C. Saunders, D. Lobb, M. Sweeting, Y. Gao, "Building large telescopes in orbit using small satellites," Acta Astronaut. 141, 183‒195 (2017)
[Crossref]

Lohit, S.

K. Kulkarni, S. Lohit, P. Turaga, R. Kerviche, A. Ashok, ReconNet: non-iterative reconstruction of images from compressively sensed measurements Proc. IEEE Conference on Computer Vision and Pattern Recognition-CVPR .

Long, J.

J. Long, E. Shelhamer, T. Darrell, Fully convolutional networks for semantic segmentation Proc. IEEE Conference on Computer Vision and Pattern Recognition-CVPR .

Luo, W.

Z. Ren, W. Luo, J. Yan, W. Liao, X. Yang, A. Yuille, H. Zha, "STFlow: self-taught optical flow estimation using pseudo labels," IEEE Trans. Image Process 29, 9113‒9124 (2020)
[Crossref] [PubMed]

Lv, G.-M.

G.-M. Lv, Q. Li, Y.-T. Chen, H.-J. Feng, J. Mu, "An improved scheme and numerical simulation of segmented planar imaging detector for electro-optical reconnaissance," Opt. Rev. 26, 664‒675 (2019)
[Crossref]

Ma, L.

Ma, Z.

D. Chang, Y. Ding, J. Xie, A. K. Bhunia, X. Li, Z. Ma, M. Wu, J. Guo, Y. Z. Song, "The devil is in the channels: mutual-channel loss for fine-grained image classification," IEEE Trans. Image Process 29, 4683‒4695 (2020)
[Crossref] [PubMed]

Maleki, A.

C. A. Metzler, A. Maleki, R. G. Baraniuk, "From denoising to compressed sensing," IEEE Trans. Inform. Theory 62, 5117‒5144 (2014)
[Crossref]

McEwen, J. D.

L. Pratley, J. D. McEwen, M. d'Avezac, R. E. Carrillo, A. Onose, Y. Wiaux, "Robust sparse image reconstruction of radio interferometric observations with PURIFY," Mon. Not. R. Astron. Soc. 473, 1038‒1058 (2018)
[Crossref]

Metzler, C. A.

C. A. Metzler, A. Maleki, R. G. Baraniuk, "From denoising to compressed sensing," IEEE Trans. Inform. Theory 62, 5117‒5144 (2014)
[Crossref]

Mu, J.

G.-M. Lv, Q. Li, Y.-T. Chen, H.-J. Feng, J. Mu, "An improved scheme and numerical simulation of segmented planar imaging detector for electro-optical reconnaissance," Opt. Rev. 26, 664‒675 (2019)
[Crossref]

Mukhayadi, M.

W. Hasbi, Kamirul, M. Mukhayadi, U. Renner, "The impact of space-based AIS antenna orientation on in-orbit AIS detection performance," Appl. Sci. 9, 3319 (2019)
[Crossref]

Ogden, C.

T. Su, G. Liu, K. E. Badham, S. T. Thurman, R. L. Kendrick, A. Duncan, D. Wuchenich, C. Ogden, G. Chriqui, S. Feng, J. Chun, S. J. B. Yoo, "Interferometric imaging using Si3N4 photonic integrated circuits for a SPIDER imager," Opt. Express 26, 12801‒12812 (2018)
[Crossref] [PubMed]

R. P. Scott, T. Su, C. Ogden, S. T. Thurman, R. L. Kendrick, A. Duncan, R. Yu, S. J. B. Yoo, Demonstration of a photonic integrated circuit for multi-baseline interferometric imagingProc. IEEE Photonics Conference Proc. IEEE Photonics Conference .

Onose, A.

L. Pratley, J. D. McEwen, M. d'Avezac, R. E. Carrillo, A. Onose, Y. Wiaux, "Robust sparse image reconstruction of radio interferometric observations with PURIFY," Mon. Not. R. Astron. Soc. 473, 1038‒1058 (2018)
[Crossref]

Philips, W.

J. Xue, Y.-Q. Zhao, Y. Bu, W. Liao, J. C.-W. Chan, W. Philips, "Spatial-spectral structured sparse low-rank representation for hyperspectral image super-resolution," IEEE Trans. Image Process 30, 3084‒3097 (2021)
[Crossref] [PubMed]

Pratley, L.

L. Pratley, J. D. McEwen, M. d'Avezac, R. E. Carrillo, A. Onose, Y. Wiaux, "Robust sparse image reconstruction of radio interferometric observations with PURIFY," Mon. Not. R. Astron. Soc. 473, 1038‒1058 (2018)
[Crossref]

Ren, Z.

Z. Ren, W. Luo, J. Yan, W. Liao, X. Yang, A. Yuille, H. Zha, "STFlow: self-taught optical flow estimation using pseudo labels," IEEE Trans. Image Process 29, 9113‒9124 (2020)
[Crossref] [PubMed]

Renner, U.

W. Hasbi, Kamirul, M. Mukhayadi, U. Renner, "The impact of space-based AIS antenna orientation on in-orbit AIS detection performance," Appl. Sci. 9, 3319 (2019)
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Saunders, C.

C. Saunders, D. Lobb, M. Sweeting, Y. Gao, "Building large telescopes in orbit using small satellites," Acta Astronaut. 141, 183‒195 (2017)
[Crossref]

Scott, R. P.

R. P. Scott, T. Su, C. Ogden, S. T. Thurman, R. L. Kendrick, A. Duncan, R. Yu, S. J. B. Yoo, Demonstration of a photonic integrated circuit for multi-baseline interferometric imagingProc. IEEE Photonics Conference Proc. IEEE Photonics Conference .

Shao, L.

S. W. Zamir, A. Arora, A. Gupta, S. Khan, G. Sun, F. S. Khan, F. Zhu, L. Shao, G.-S. Xia, X. Bai, iSAID: a large-scale dataset for instance segmentation in aerial images Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops .

Sheikh, H. R.

Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli, "Image quality assessment: from error visibility to structural similarity," IEEE Trans. Image Process. 13, 600‒612 (2004)
[Crossref] [PubMed]

Shelhamer, E.

J. Long, E. Shelhamer, T. Darrell, Fully convolutional networks for semantic segmentation Proc. IEEE Conference on Computer Vision and Pattern Recognition-CVPR .

Simoncelli, E. P.

Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli, "Image quality assessment: from error visibility to structural similarity," IEEE Trans. Image Process. 13, 600‒612 (2004)
[Crossref] [PubMed]

Song, Y. Z.

D. Chang, Y. Ding, J. Xie, A. K. Bhunia, X. Li, Z. Ma, M. Wu, J. Guo, Y. Z. Song, "The devil is in the channels: mutual-channel loss for fine-grained image classification," IEEE Trans. Image Process 29, 4683‒4695 (2020)
[Crossref] [PubMed]

Su, T.

T. Su, G. Liu, K. E. Badham, S. T. Thurman, R. L. Kendrick, A. Duncan, D. Wuchenich, C. Ogden, G. Chriqui, S. Feng, J. Chun, S. J. B. Yoo, "Interferometric imaging using Si3N4 photonic integrated circuits for a SPIDER imager," Opt. Express 26, 12801‒12812 (2018)
[Crossref] [PubMed]

R. P. Scott, T. Su, C. Ogden, S. T. Thurman, R. L. Kendrick, A. Duncan, R. Yu, S. J. B. Yoo, Demonstration of a photonic integrated circuit for multi-baseline interferometric imagingProc. IEEE Photonics Conference Proc. IEEE Photonics Conference .

Sun, G.

S. W. Zamir, A. Arora, A. Gupta, S. Khan, G. Sun, F. S. Khan, F. Zhu, L. Shao, G.-S. Xia, X. Bai, iSAID: a large-scale dataset for instance segmentation in aerial images Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops .

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C. Saunders, D. Lobb, M. Sweeting, Y. Gao, "Building large telescopes in orbit using small satellites," Acta Astronaut. 141, 183‒195 (2017)
[Crossref]

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T. Su, G. Liu, K. E. Badham, S. T. Thurman, R. L. Kendrick, A. Duncan, D. Wuchenich, C. Ogden, G. Chriqui, S. Feng, J. Chun, S. J. B. Yoo, "Interferometric imaging using Si3N4 photonic integrated circuits for a SPIDER imager," Opt. Express 26, 12801‒12812 (2018)
[Crossref] [PubMed]

R. P. Scott, T. Su, C. Ogden, S. T. Thurman, R. L. Kendrick, A. Duncan, R. Yu, S. J. B. Yoo, Demonstration of a photonic integrated circuit for multi-baseline interferometric imagingProc. IEEE Photonics Conference Proc. IEEE Photonics Conference .

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K. Kulkarni, S. Lohit, P. Turaga, R. Kerviche, A. Ashok, ReconNet: non-iterative reconstruction of images from compressively sensed measurements Proc. IEEE Conference on Computer Vision and Pattern Recognition-CVPR .

Wang, X.

Wang, Z.

Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli, "Image quality assessment: from error visibility to structural similarity," IEEE Trans. Image Process. 13, 600‒612 (2004)
[Crossref] [PubMed]

Wiaux, Y.

L. Pratley, J. D. McEwen, M. d'Avezac, R. E. Carrillo, A. Onose, Y. Wiaux, "Robust sparse image reconstruction of radio interferometric observations with PURIFY," Mon. Not. R. Astron. Soc. 473, 1038‒1058 (2018)
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Wu, M.

D. Chang, Y. Ding, J. Xie, A. K. Bhunia, X. Li, Z. Ma, M. Wu, J. Guo, Y. Z. Song, "The devil is in the channels: mutual-channel loss for fine-grained image classification," IEEE Trans. Image Process 29, 4683‒4695 (2020)
[Crossref] [PubMed]

Wuchenich, D.

Xia, G.-S.

S. W. Zamir, A. Arora, A. Gupta, S. Khan, G. Sun, F. S. Khan, F. Zhu, L. Shao, G.-S. Xia, X. Bai, iSAID: a large-scale dataset for instance segmentation in aerial images Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops .

Xiao, Y.

Z. Leihong, Y. Xiao, Z. Dawei, C. Jian, "Research on multiple-image encryption scheme based on Fourier transform and ghost imaging algorithm," Curr. Opt. Photonics 2, 315‒323 (2018)

Xie, J.

D. Chang, Y. Ding, J. Xie, A. K. Bhunia, X. Li, Z. Ma, M. Wu, J. Guo, Y. Z. Song, "The devil is in the channels: mutual-channel loss for fine-grained image classification," IEEE Trans. Image Process 29, 4683‒4695 (2020)
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J. Xue, Y.-Q. Zhao, Y. Bu, W. Liao, J. C.-W. Chan, W. Philips, "Spatial-spectral structured sparse low-rank representation for hyperspectral image super-resolution," IEEE Trans. Image Process 30, 3084‒3097 (2021)
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Z. Ren, W. Luo, J. Yan, W. Liao, X. Yang, A. Yuille, H. Zha, "STFlow: self-taught optical flow estimation using pseudo labels," IEEE Trans. Image Process 29, 9113‒9124 (2020)
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Yang, H.

Y. Zhang, J. Deng, G. Liu, J. Fei, H. Yang, "Simultaneous estimation of spatial frequency and phase based on an improved component cross-correlation algorithm for structured illumination microscopy," Curr. Opt. Photonics 4, 317‒325 (2020)

Yang, X.

Z. Ren, W. Luo, J. Yan, W. Liao, X. Yang, A. Yuille, H. Zha, "STFlow: self-taught optical flow estimation using pseudo labels," IEEE Trans. Image Process 29, 9113‒9124 (2020)
[Crossref] [PubMed]

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C. Li, W. Yin, H. Jiang, Y. Zhang, "An efficient augmented Lagrangian method with applications to total variation minimization," Comput. Optim. Appl. 56, 507‒530 (2013)
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T. Su, G. Liu, K. E. Badham, S. T. Thurman, R. L. Kendrick, A. Duncan, D. Wuchenich, C. Ogden, G. Chriqui, S. Feng, J. Chun, S. J. B. Yoo, "Interferometric imaging using Si3N4 photonic integrated circuits for a SPIDER imager," Opt. Express 26, 12801‒12812 (2018)
[Crossref] [PubMed]

R. P. Scott, T. Su, C. Ogden, S. T. Thurman, R. L. Kendrick, A. Duncan, R. Yu, S. J. B. Yoo, Demonstration of a photonic integrated circuit for multi-baseline interferometric imagingProc. IEEE Photonics Conference Proc. IEEE Photonics Conference .

Yu, R.

R. P. Scott, T. Su, C. Ogden, S. T. Thurman, R. L. Kendrick, A. Duncan, R. Yu, S. J. B. Yoo, Demonstration of a photonic integrated circuit for multi-baseline interferometric imagingProc. IEEE Photonics Conference Proc. IEEE Photonics Conference .

Yuan, Y.

Yuan., H.

Yuille, A.

Z. Ren, W. Luo, J. Yan, W. Liao, X. Yang, A. Yuille, H. Zha, "STFlow: self-taught optical flow estimation using pseudo labels," IEEE Trans. Image Process 29, 9113‒9124 (2020)
[Crossref] [PubMed]

Zamir, S. W.

S. W. Zamir, A. Arora, A. Gupta, S. Khan, G. Sun, F. S. Khan, F. Zhu, L. Shao, G.-S. Xia, X. Bai, iSAID: a large-scale dataset for instance segmentation in aerial images Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops .

Zha, H.

Z. Ren, W. Luo, J. Yan, W. Liao, X. Yang, A. Yuille, H. Zha, "STFlow: self-taught optical flow estimation using pseudo labels," IEEE Trans. Image Process 29, 9113‒9124 (2020)
[Crossref] [PubMed]

Zhang, Y.

H. Hu, C. Liu, Y. Zhang, Q. Feng, S. Liu, "Optimal design of segmented planar imaging for dense azimuthal sampling lens array," Opt. Express 29, 24300‒24314 (2021)
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Y. Zhang, J. Deng, G. Liu, J. Fei, H. Yang, "Simultaneous estimation of spatial frequency and phase based on an improved component cross-correlation algorithm for structured illumination microscopy," Curr. Opt. Photonics 4, 317‒325 (2020)

C. Li, W. Yin, H. Jiang, Y. Zhang, "An efficient augmented Lagrangian method with applications to total variation minimization," Comput. Optim. Appl. 56, 507‒530 (2013)
[Crossref]

Zhao, Y.-Q.

J. Xue, Y.-Q. Zhao, Y. Bu, W. Liao, J. C.-W. Chan, W. Philips, "Spatial-spectral structured sparse low-rank representation for hyperspectral image super-resolution," IEEE Trans. Image Process 30, 3084‒3097 (2021)
[Crossref] [PubMed]

Zhao, Z.

Zhu, F.

S. W. Zamir, A. Arora, A. Gupta, S. Khan, G. Sun, F. S. Khan, F. Zhu, L. Shao, G.-S. Xia, X. Bai, iSAID: a large-scale dataset for instance segmentation in aerial images Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops .

Acta Astronaut. (1)

C. Saunders, D. Lobb, M. Sweeting, Y. Gao, "Building large telescopes in orbit using small satellites," Acta Astronaut. 141, 183‒195 (2017)
[Crossref]

Appl. Sci. (1)

W. Hasbi, Kamirul, M. Mukhayadi, U. Renner, "The impact of space-based AIS antenna orientation on in-orbit AIS detection performance," Appl. Sci. 9, 3319 (2019)
[Crossref]

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O. Guyon, "Wide field interferometric imaging with single-mode fibers," Astron. Astrophys. 387, 366‒378 (2002)
[Crossref]

Comput. Optim. Appl. (1)

C. Li, W. Yin, H. Jiang, Y. Zhang, "An efficient augmented Lagrangian method with applications to total variation minimization," Comput. Optim. Appl. 56, 507‒530 (2013)
[Crossref]

Curr. Opt. Photonics (2)

Z. Leihong, Y. Xiao, Z. Dawei, C. Jian, "Research on multiple-image encryption scheme based on Fourier transform and ghost imaging algorithm," Curr. Opt. Photonics 2, 315‒323 (2018)

Y. Zhang, J. Deng, G. Liu, J. Fei, H. Yang, "Simultaneous estimation of spatial frequency and phase based on an improved component cross-correlation algorithm for structured illumination microscopy," Curr. Opt. Photonics 4, 317‒325 (2020)

IEEE Trans. Image Process (3)

J. Xue, Y.-Q. Zhao, Y. Bu, W. Liao, J. C.-W. Chan, W. Philips, "Spatial-spectral structured sparse low-rank representation for hyperspectral image super-resolution," IEEE Trans. Image Process 30, 3084‒3097 (2021)
[Crossref] [PubMed]

D. Chang, Y. Ding, J. Xie, A. K. Bhunia, X. Li, Z. Ma, M. Wu, J. Guo, Y. Z. Song, "The devil is in the channels: mutual-channel loss for fine-grained image classification," IEEE Trans. Image Process 29, 4683‒4695 (2020)
[Crossref] [PubMed]

Z. Ren, W. Luo, J. Yan, W. Liao, X. Yang, A. Yuille, H. Zha, "STFlow: self-taught optical flow estimation using pseudo labels," IEEE Trans. Image Process 29, 9113‒9124 (2020)
[Crossref] [PubMed]

IEEE Trans. Image Process. (2)

K. Dabov, A. Foi, V. Katkovnik, K. Egiazarian, "Image denoising by sparse 3-D transform-domain collaborative filtering," IEEE Trans. Image Process. 16, 2080‒2095 (2007)
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Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli, "Image quality assessment: from error visibility to structural similarity," IEEE Trans. Image Process. 13, 600‒612 (2004)
[Crossref] [PubMed]

IEEE Trans. Inform. Theory (1)

C. A. Metzler, A. Maleki, R. G. Baraniuk, "From denoising to compressed sensing," IEEE Trans. Inform. Theory 62, 5117‒5144 (2014)
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Mon. Not. R. Astron. Soc. (1)

L. Pratley, J. D. McEwen, M. d'Avezac, R. E. Carrillo, A. Onose, Y. Wiaux, "Robust sparse image reconstruction of radio interferometric observations with PURIFY," Mon. Not. R. Astron. Soc. 473, 1038‒1058 (2018)
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Opt. Express (3)

Opt. Rev. (1)

G.-M. Lv, Q. Li, Y.-T. Chen, H.-J. Feng, J. Mu, "An improved scheme and numerical simulation of segmented planar imaging detector for electro-optical reconnaissance," Opt. Rev. 26, 664‒675 (2019)
[Crossref]

Other (5)

R. P. Scott, T. Su, C. Ogden, S. T. Thurman, R. L. Kendrick, A. Duncan, R. Yu, S. J. B. Yoo, Demonstration of a photonic integrated circuit for multi-baseline interferometric imagingProc. IEEE Photonics Conference Proc. IEEE Photonics Conference .

X. Glorot, A. Bordes, Y. Bengio, Deep sparse rectifier neural networks Proc. Proceedings of the 14th International Conference on Artificial Intelligence and Statistics .

S. W. Zamir, A. Arora, A. Gupta, S. Khan, G. Sun, F. S. Khan, F. Zhu, L. Shao, G.-S. Xia, X. Bai, iSAID: a large-scale dataset for instance segmentation in aerial images Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops .

K. Kulkarni, S. Lohit, P. Turaga, R. Kerviche, A. Ashok, ReconNet: non-iterative reconstruction of images from compressively sensed measurements Proc. IEEE Conference on Computer Vision and Pattern Recognition-CVPR .

J. Long, E. Shelhamer, T. Darrell, Fully convolutional networks for semantic segmentation Proc. IEEE Conference on Computer Vision and Pattern Recognition-CVPR .

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