I. Suvery

G. Xu, B. Zhang, H. Yu, J. Chen, M. Xing, W. Hong, "Sparse Synthetic Aperture Radar Imaging from Compressed Sensing and Machine Learning: Theories, Applications and Trends," IEEE Geoscience and Remote Sensing Magazine, vol. 10, no. 4, pp: 32–69, 2022. DOI: 10.1109/MGRS.2022.3218801.

II. Structured Low-rank Based Sparse Imaging

Fig: ISAR imaging using 2D sparse sampling data (CRS, sparse sampling ratio is 1/4). (a) conventional RD, (b) L1-norm, (c) MC, (d) structured MC

Sparse ISAR imaging from the 2D compressive sampling using the structured low-rank method

Related Work

[1]Structured Low-Rank and Sparse Method for ISAR Imaging With 2-D Compressive Sampling

Gang Xu, Bangjie Zhang, Hanwen Yu, Jianlai Chen, Mengdao Xing

IEEE Transactions on Geoscience and Remote Sensing, 2022.

G. Xu, B. Zhang, J. Chen, W. Hong, "Structured Low-Rank and Sparse Method for ISAR Imaging With 2-D Compressive Sampling," IEEE Transactions on Geoscience and Remote Sensing, 2022, DOI: 10.1109/TGRS.2022.3221971.

[2]Sparse Inverse Synthetic Aperture Radar Imaging Using Structured Low-rank Method

Gang Xu, Bangjie Zhang, Jianlai Chen, Fan Wu, Jialian Sheng, and Wei Hong

IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 5213712, 2022.

G. Xu, B. Zhang, J. Chen, W. Hong, "Structured Low-Rank and Sparse Method for ISAR Imaging With 2-D Compressive Sampling," IEEE Transactions on Geoscience and Remote Sensing, 2022, DOI: 10.1109/TGRS.2022.3221971.

III. Compressive Sensing Based Sparse Imaging

Fig: ISAR imaging of sparse aperture using sparse algorithms (sparse sampling ratio is 1/4). (a) CRS, (b) CGS. (the first column: MP, the second column: L1-norm, the third column: BCS, the forth column: structured BCS)

Sparse aperture ISAR imaging using the compressive sensing method

Related Work

[1]Three-dimensional Geometry and Motion Estimations of Maneuvering Targets for Interferometric ISAR with Sparse Aperture

Gang Xu, Mengdao Xing, Xiang-gen Xia

IEEE Transactions on Image Processing, vol. 25, no. 5, pp. 2005-2020, 2016.

G. Xu, M. Xing, X. Xia. “Three-dimensional Geometry and Motion Estimations of Maneuvering Targets for Interferometric ISAR with Sparse Aperture”, IEEE Transactions on Image Processing, vol. 25, no. 5, pp. 2005-2020, 2016.

[2]Sparse-apertures ISAR Imaging and Scaling for Maneuvering Targets

Gang Xu, Mengdao Xing, Lei Zhang, and et al

IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, vol. 7, no. 7, pp: 2123–2136, 2014.

G. Xu, M. Xing, L. Zhang, and et al, “Sparse-apertures ISAR Imaging and Scaling for Maneuvering Targets,” IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, vol. 7, no. 7, pp: 2123–2136, 2014.

[3]High-resolution Inverse Synthetic Aperture Radar Imaging and Scaling with Sparse Aperture

Gang Xu, Mengdao Xing, Xiang-Gen Xia, and et al

IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, vol. PP, no. 99, pp: 1–18, 2015.

G, Xu, M. Xing, X. Xia, and et al, “High-resolution Inverse Synthetic Aperture Radar Imaging and Scaling with Sparse Aperture,” IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, vol. PP, no. 99, pp: 1–18, 2015.

IV. Sparsity-driven Based Autofocusing

Fig: Sparsity-based autofocusing of ISAR imaging under three different types of phase error (low order, high order and random)

Fig: 稀疏自焦距与常规方法比较

Fig: 机动目标成像

Parametric sparse imaging approach for robust phase error correction and maneuvering target motion compensation

Related Work

[1]Enhanced ISAR Imaging and Motion Estimation with Parametric and Dynamic Sparse Bayesian Learning

Gang Xu,Lei Yang, Guoan Bi, and Mengdao Xing

IEEE Transactions on Image Processing, vol. 25, no. 5, pp. 2005-2020, 2016.

Gang Xu, Lei Yang, Guoan Bi, and Mengdao Xing, “Enhanced ISAR Imaging and Motion Estimation with Parametric and Dynamic Sparse Bayesian Learning,” IEEE Transactions on Computational Imaging, vol. 3, no. 4, pp. 940-952, 2017.

[2]Maneuvering Target Imaging and Scaling by Using Sparse Inverse Synthetic Aperture

Gang Xu,Lei Yang, Guoan Bi, and Mengdao Xing

Signal Processing, vol.149, no.11, pp.149-159, 2017.

G. Xu, L. Yang, G. Bi, and M. Xing, “Maneuvering Target Imaging and Scaling by Using Sparse Inverse Synthetic Aperture,” Signal Processing, vol.149, no.11, pp.149-159, 2017.

[3]Bayesian Inverse Synthetic Aperture Radar Imaging

Gang Xu, Mengdao Xing, Lei Zhang, and et al,

IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 6, pp: 1150-1154, 2011.

G. Xu, M. Xing, L. Zhang, and et al, “Bayesian Inverse Synthetic Aperture Radar Imaging”, IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 6, pp: 1150-1154, 2011.

V. Advanced Wide-swath Sparse SAR Imaging

Related Work

[1] Nonambiguous SAR Image Formation of Maritime Targets Using Weighted Sparse Approach

Gang Xu, Xiang-gen Xia, and Wei Hong

IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 3, pp: 1454–1465, 2018.

Gang Xu, Xiang-gen Xia, and Wei Hong, “Nonambiguous SAR Image Formation of Maritime Targets Using Weighted Sparse Approach,” IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 3, pp: 1454–1465, 2018.

[2]Performance Improvement in Multi-ship Imaging for ScanSAR Based on Sparse Representation

Gang Xu, Jialian Sheng, Lei Zhang, and et al,

Science China Information sciences, vol. 55, no. 8, 2012.

G. Xu, J. Sheng, L. Zhang, and et al, “Performance Improvement in Multi-ship Imaging for ScanSAR Based on Sparse Representation”, Science China Information sciences, vol. 55, no. 8, 2012.

VI. Multidimensional Feature-enhanced Sparse SAR Imaging

Fig: Imaging results of single building. (a) Optical image. (b)–(d) Three views of the proposed algorithm after eliminating double-bounce. (e) Result of the proposed algorithm after correcting double bounce. (f)–(h) Three views of the reference result provided in the dataset

Hello World!!!!Hello World!!!!Hello World!!!!Hello

Related Work

[1] Array 3-D SAR Tomography using Robust Gridless Compressed Sensing," IEEE Transactions on Geoscience and Remote Sensing

Bangjie Zhang, Gang Xu, Hanwen Yu, Hui Wang, Hao Pei, and Wei Hong,

IEEE Transactions on Geoscience and Remote Sensing, 2023.

Bangjie Zhang, Gang Xu, Hanwen Yu, Hui Wang, Hao Pei, and Wei Hong, "Array 3-D SAR Tomography using Robust Gridless Compressed Sensing," IEEE Transactions on Geoscience and Remote Sensing, 2023， DOI: 10.1109/TGRS.2023.3259980.

[2]InSAR Phase Denoising: A Review of Current Technologies and Future Directions

Gang Xu, Yandong Gao, Jinwei Li, and Mengdao Xing

IEEE Geoscience and Remote Sensing Magazine

Gang Xu, Yandong Gao, Jinwei Li, and Mengdao Xing, “InSAR Phase Denoising: A Review of Current Technologies and Future Directions,” IEEE Geoscience and Remote Sensing Magazine, vol. 8, no. 2, pp: 64–82, 2020.

[3] Sparse Regularization of Interferometric Phase and Magnitude for InSAR Image Formation Based on Bayesian Representation

Gang Xu, Mengdao Xing, Lei Zhang, and et al,

IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 4, 2015.

G. Xu, M. Xing, X. Xia, and et al, “Sparse Regularization of Interferometric Phase and Magnitude for InSAR Image Formation Based on Bayesian Representation,” IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 4, 2015.