Moving Target Indication

1. Ground Moving Target Indication (GMTI) (40 papers)

RPCA

Z. Lei, L. Xiling, S. Jinping, L. Songtao, “An Efficient ΣΔ-STAP Detector for Radar Seeker using RPCA Post-processing”, Defense Science Journal, Volume 64, No. 4, pages 344-349, July 2014.

D. Yang, G. Liao, S. Zhu, X. Yang, "RPCA based moving target detection in strong clutter background”, IEEE Radar Conference, RadarCon 2015, pages 1487-1490, Arlington, USA, 2015.

D. Yang, X. Yang, G. Liao, S. Zhu, "Strong Clutter Suppression via RPCA in Multichannel SAR/GMTI System”, IEEE Geoscience and Remote Sensing Letters, Volume 12, No. 11, pages 2237-2241, 2015.

Y. Huang, G. Liao, "MIMO SAR GMTI with RPCA based method”, IEEE Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015, pages 827-830, Singapore, 2015.

Y. Huang, G. Liao, J. Xu, D. Yang, “MIMO SAR OFDM chip waveform design and GMTI with RPCA based method”, Digital Signal Processing, Volume 51, pages 184-195, 2016.

Y. Huang, G. Liao, J. Xu, J. Li, D. Yang, "GMTI and Parameter Estimation for MIMO SAR System via Fast Interferometry RPCA Method", IEEE Transactions on Geoscience and Remote Sensing, Volume 56, No. 3, pages 1774-1787, March 2018.

L. Borcea, T. Callaghan, G. Papanicolaou, “Synthetic Aperture Radar Imaging and Motion Estimation via Robust Principal Component Analysis”, SIAM Journal on Imaging Sciences, Volume 6, No. 3, pages 1445-1476, 2013.

H. Yan, R. Wang, F. Li, Y. Deng, Y. Liu, "Ground moving target extraction in multichannel wide-area surveillance SAR/GMTI system via the relaxed PCP”, IEEE Geoscience Remote Sensing Letters, Volume 10, pages 617–621, 2013.

A. Soganh, M. Cetin, “Low-rank sparse matrix decomposition for sparsity-driven SAR image reconstruction”, CoSeRa, 2015.

M. Yasin, M. Cetin, A. Khwaja, “SAR imaging of moving targets by subaperture based low-rank and sparse decomposition”, SIU 2017, 2017.

Z. Hu, M. Bryant, R. Qiu, “Multi-path SAR Change Detection”, IEEE Radar Conference, pages 859-863, Atlanta, USA, 2012.

Q. Li, L. He, L. Qi, R. Wang, “Unique decomposition and a new model for the ground moving target indication problem”, Journal of Optimization Theory and Applications, Volume 173, Issue 1, pages 297–312, April 2017.

D. Sabushimike, S. Na, J. Kim, N. Bui, K. Seo, G. Kim, “Low-Rank Matrix Recovery Approach for Clutter Rejection in Real-Time IR-UWB Radar-Based Moving Target Detection”, Volume 16, Issue 9, Sensors 2016, 2016.

A. Soganh, "Dictionary Learning and Low-rank Sparse Matrix Decomposition for Sparsity-driven SAR Image Reconstruction", Master Thesis, Sabanci. University, Turkey, September 2014.

M. Leibovich., G. Papanicolaouy, C. Tsogkaz, "Low rank plus sparse decomposition of synthetic aperture radar data for target imaging and tracking", Preprint, June 2019.

H. Nguyen, G. Yu, S. Na, J. Kim, K. Seo “Real-time Moving Object Detection Based on RPCA via GD for FMCW Radar”, Journal of KIIT, Volume 17, No. 6, pages 103-114, June 2019.

G. Xu, X. Wang, Y. Huang, L. Cai, Z. Jiang, "Joint Multi-Channel Sparse Method of Robust PCA for SAR Ground Moving Target Image Indication", IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, pages 1709-1712, Yokohama, Japan, 2019.

X. Jia, H. Song, "Clutter suppression for multichannel wide area surveillance system via a combination of STAP and RPCA", IEEE Asia-Pacific Conference on Synthetic Aperture Radar , APSAR 2019, Xiamen, China, pages 1-4, 2019.

L. Chen, X. Jiang, Z. Li, X. Liu, Z. Zhou, "Feature-Enhanced Speckle Reduction via Low-Rank and Space-Angle Continuity for Circular SAR Target Recognition", IEEE Transactions on Geoscience and Remote Sensing, pages 1-19, April 2020.

L. Ramos, C. Schwartz, D. Alves, L. Duarte, M. Pettersson, V. Vu, R. Machado, "Change detection in UWB VHF SAR images exploiting flight heading diversity through robust principal component analysis", Proceedings of SPIE, pages 97-106, September 2020.

L. Ramos, C. Schwartz, D. Alves, L. Duarte, R. Machado, "RPCA para Detecção de Mudanças em Imagens SAR UWB VHF Explorando Diversidade", Simpósio Brasileiro De Telecomunicações E Processamento De Sinais, 2020.

C. Schwartz, L. Ramos, L. Duarte, M. Pinho, M. Pettersson, V. Vu, R. Machado, "Change Detection in UWB SAR Images based on Robust Principal Component Analysis", MDPI Remote Sensing, 2020.

L. Ramos, A. Campos, C. Schwartz, L. Duarte, D. Alves, M. Pettersson, V. Vu, R. Machado, "A Wavelength-Resolution SAR Change Detection Method Based on Image Stack through Robust Principal Component Analysis", MDPI Remote Sensing, 2021.

H. Yang, M. Tao, S. Chen, F. Xi, Z. Liu, "On the Mutual Interference between Spaceborne SARs: Modeling, Characterization, and Mitigation", Preprint, 2020.

A. Oveis, M. Sebt, "Dictionary-Based Principal Component Analysis for Ground Moving Target Indication by Synthetic Aperture Radar", IEEE Geoscience and Remote Sensing Letters, Volume. 14, No. 9, pages 1594-1598, September 2017.

S. Thammakhoune, B. Yonel, E. Mason, B. Yazici, Y. Eldar, "Moving Target Imaging for Synthetic Aperture Radar Via RPCA", IEEE Radar Conference, RadarConf 2021, pages 1-6, 2021.

Y. Guo, G. Liao, J. Li, T. Gu, "A Clutter Suppression Method based on NSS-RPCA in Heterogeneous Environments for SAR-GMTI", IEEE Transactions on Geoscience and Remote Sensing, pages 5880-5891, 2020.

Y. Zhang, D. Zhu, P. Wang, G. Zhang, H. Leung, "Vision-based vehicle detection for Video SAR surveillance using low-rank plus sparse three-term decomposition", IEEE Transactions on Vehicle Technology, Volume 69, No. 5, pages 4711-4726, 2020.

M. Moradikia, S. Samadi, H. Hashempour, M. Cetin, “Video-SAR imaging of dynamic scenes using low-rank and sparse decomposition", IEEE Transactions on Computational Imaging, Volume 7, pages 384-398, 2021.

R. Panhuber, "Partitioning of Radar Signals in Stationary and Ground Moving Targets by use of Low-Rank and Compressed Sensing Methods", PhD Thesis, School of Science and Technology of the University of Siegen, Germany, 2022.

B. Xu, X. Lu, H. Gu, W. Su, "A joint clutter suppression method based on robust principal component analysis and total variation denoising", Electronics Letters, 2022.

L. Ramos, D. Alves, L. Duarte, M. Pettersson, R. Machado, "Robust Principal Component Analysis Techniques for Ground Scene Estimation in SAR Imagery", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 16, pages 9697-9710, 2023.

W. Li, H. Wang, P. Ma, "Spatial Correlation-Constrained Low-Rank Modeling for SAR Image Change Detection", IEEE Transactions on Geoscience and Remote Sensing, Volume 62, pages 1-15, 2024.

NRPCA

Y. Guo, G. Liao, J. Li, X. Chen, "A Novel Moving Target Detection Method Based on RPCA for SAR System", IEEE Transactions on Geoscience and Remote Sensing, 2020.

Q. Li, H. Yan, L. Wu, R. Wang, “Robust PCA for Ground Moving Target Indication in Wide-Area Surveillance Radar System”, Journal of the Operations Research Society of China, Volume 1, Issue 1, pages 135-153, March 2013.

Structured RPCA

Row-Modulus RPCA

Approximated RPCA

J. Li, Y. Huang, G. Liao, J. Xu, "Moving Target Detection via Efficient ATI-GoDec Approach for Multichannel SAR System”, IEEE Geoscience and Remote Sensing Letters, Volume 13, No. 9, pages 1320-1324, 2016.

Multi-feature RPCA

M. Moradikia, S. Samadi, M. Cetin, "Joint SAR Imaging and Multi-Feature Decomposition from 2D Undersampled Data via Low-Rankness plus Sparsity Priors", IEEE Transactions on Computational Imaging, 2018.

ROSL

Z. Zhang, H. Lei, Z. Lv, “Vehicle Layover Removal in Circular SAR Images via ROSL”, IEEE Geoscience and Remote Sensing Letters, Volume 12, No. 12, pages 2413-2417, 2015.

RPCA Loss

A. Oveis, E. Giusti, S. Ghio, M. Martorella, "Moving and Stationary Targets Separation in SAR Signal Domain using Parallel Convolutional Autoencoders with RPCA Loss", IEEE Radar Conference, RadarConf 2022, 2022.

2. Air Moving Target Indication (AMTI)

3. Maritime Moving Target Indication (MMTI) (7 papers)

RPCA

F. Biondi, "Low rank plus sparse decomposition of synthetic aperture radar data for maritime surveillance”, International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016, pages 75-79, Aachen, Germany, 2016.

F. Biondi, "A Polarimetric Extension of Low-Rank Plus Sparse Decomposition and Radon Transform for Ship Wake Detection in Synthetic Aperture Radar Images", IEEE Geoscience and Remote Sensing Letters, 2018.

F. Biondi, "(L + S)-RT-CCD for Terrain Paths Monitoring", IEEE Geoscience and Remote Sensing Letters, Volume 15, No. 8, pages 1209-1213, August 2018.

W. Li, W. Zhang, S. Yang, Y. Huang, J. Yang, "Low rank and sparse matrix decomposition based multiple targets extraction for forward-looking scanning radar”, Journal of Applied Remote Sensing, Volume 15, No. 4, November 2021.

Dual-stage RPCA

F. Biondi, "Low-Rank Plus Sparse Decomposition and Localized Radon Transform for Ship-Wake Detection in Synthetic Aperture Radar Images", IEEE Geoscience and Remote Sensing Letters, Volume 15, No. 1, pages 117-121, January 2018.

F. Biondi, "(L + S)-RT-CCD for Terrain Paths Monitoring", IEEE Geoscience and Remote Sensing Letters, 2018.

WLRMF

J. Geng, J. Fan, H. Wang, “Weighted Fusion-Based Representation Classifiers for Marine Floating Raft Detection of SAR Images”, IEEE Geoscience and Remote Sensing Letters, Volume 14, No. 3, pages 444-448, March 2017.