{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T17:22:18Z","timestamp":1772040138951,"version":"3.50.1"},"reference-count":28,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2019,5,19]],"date-time":"2019-05-19T00:00:00Z","timestamp":1558224000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61571421"],"award-info":[{"award-number":["61571421"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61431018"],"award-info":[{"award-number":["61431018"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Spaceborne spotlight SAR mode has drawn attention due to its high-resolution capability, however, the studies about moving target detection with this mode are less. The paper proposes an image sequence-based method entitled modified logarithm background subtraction to detect ground moving targets with Gaofen-3 Single Look Complex (SLC) spotlight SAR images. The original logarithm background subtraction method is designed by our team for airborne SAR. It uses the subaperture image sequence to generate a background image, then detects moving targets by using image sequence to subtract background. When we apply the original algorithm to the spaceborne spotlight SAR data, a high false alarm problem occurs. To tackle the high false alarm problem due to the target\u2019s low signal-to-noise-ratio (SNR) in spaceborne cases, several improvements are made. First, to preserve most of the moving target signatures, a low threshold CFAR (constant false alarm rate) detector is used to get the coarse detection. Second, because the moving target signatures have higher density than false detections in the coarse detection, a modified DBSCAN (density-based spatial-clustering-of-applications-with-noise) clustering method is then adopted to reduce false alarms. Third, the Kalman tracker is used to exclude the residual false detections, due to the real moving target signature having dynamic behavior. The proposed method is validated by real data, the shown results also prove the feasibility of the proposed method for both Gaofen-3 and other spaceborne systems.<\/jats:p>","DOI":"10.3390\/rs11101190","type":"journal-article","created":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T11:05:07Z","timestamp":1558350307000},"page":"1190","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Moving Target Detection with Modified Logarithm Background Subtraction and Its Application to the GF-3 Spotlight Mode"],"prefix":"10.3390","volume":"11","author":[{"given":"Wenjie","family":"Shen","sequence":"first","affiliation":[{"name":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, 100190 Beijing, China"},{"name":"Institute of Electronics Chinese Academy of Science (IECAS), 100190 Beijing, China"},{"name":"University of Chinese Academy of Science (UCAS), 100190 Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen","family":"Hong","sequence":"additional","affiliation":[{"name":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, 100190 Beijing, China"},{"name":"Institute of Electronics Chinese Academy of Science (IECAS), 100190 Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bing","family":"Han","sequence":"additional","affiliation":[{"name":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, 100190 Beijing, China"},{"name":"Institute of Electronics Chinese Academy of Science (IECAS), 100190 Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanping","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, North China University of Technology, 100144 Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, North China University of Technology, 100144 Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,5,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3527","DOI":"10.1109\/TGRS.2012.2184798","article-title":"Detection and Estimation with RADARSAT-2 Moving-Object Detection Experiment Modes","volume":"50","author":"Dragosevic","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3868","DOI":"10.1109\/TGRS.2012.2186637","article-title":"Optimum SAR\/GMTI Processing and Its Application to the Radar Satellite RADARSAT-2 for Traffic Monitoring","volume":"50","author":"Sikaneta","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1554","DOI":"10.1109\/TGRS.2015.2483019","article-title":"Dual-Platform Large Along-Track Baseline GMTI","volume":"54","author":"Baumgartner","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1109\/TGRS.2003.821886","article-title":"Statistical analysis of multilook SAR interferograms for CFAR detection of ground moving targets","volume":"42","author":"Gierull","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_5","unstructured":"Lightstone, L., Faubert, D., and Rempel, G. (1991, January 12\u201313). Multiple phase centre DPCA for airborne radar. Proceedings of the 1991 IEEE National Radar Conference, Los Angeles, CA, USA."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"5052","DOI":"10.1109\/JSTARS.2015.2438898","article-title":"Multichannel SAR-GMTI in Maritime Scenarios with F-SAR and TerraSAR-X Sensors","volume":"8","author":"Makhoul","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"966","DOI":"10.1109\/JSTARS.2014.2354459","article-title":"Exploitation of the COSMO-SkyMed SAR System for GMTI Applications","volume":"8","author":"Pastina","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1109\/TAP.1985.1143684","article-title":"On the multilook images of moving targets by synthetic aperture radars","volume":"33","author":"Ouchi","year":"1985","journal-title":"IEEE Trans. Antennas Propag."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1049\/ip-rsn:20030076","article-title":"Detection and imaging of arbitrarily moving targets with single-channel SAR","volume":"150","author":"Kirscht","year":"2003","journal-title":"IEE Proc. Radar Sonar Navig."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"4735","DOI":"10.1109\/TGRS.2012.2191561","article-title":"Moving-Target Tracking in Single-Channel Wide-Beam SAR","volume":"50","author":"Henke","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Shen, W., Lin, Y., Yu, L., Xue, F., and Hong, W. (2018). Single Channel Circular SAR Moving Target Detection Based on Logarithm Background Subtraction Algorithm. Remote Sens., 10.","DOI":"10.3390\/rs10050742"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Sun, J., Yu, W., and Deng, Y. (2017). The SAR Payload Design and Performance for the GF-3 Mission. Sensors, 17.","DOI":"10.3390\/s17102419"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Han, B., Ding, C., Zhong, L., Liu, J., Qiu, X., Hu, Y., and Lei, B. (2018). The GF-3 SAR Data Processor. Sensors, 18.","DOI":"10.3390\/s18030835"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1984","DOI":"10.1109\/36.951089","article-title":"Theory of synthetic aperture radar imaging of a moving target","volume":"39","author":"Jao","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1109\/TAES.2010.5417175","article-title":"Target Motion Ambiguities in Single-Aperture Synthetic Aperture Radar","volume":"46","author":"Chapman","year":"2010","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_16","unstructured":"Shen, W., Lin, Y., Chen, S., Xue, F., Yang, Y., and Hong, W. (2018, January 4\u20137). Apparent Trace Analysis of Moving Target with Linear Motion in Circular SAR Imagery. Proceedings of the EUSAR 2018 12th European Conference on Synthetic Aperture Radar, Aachen, Germany."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1109\/TAES.1971.310292","article-title":"Synthetic Aperture Imaging Radar and Moving Targets","volume":"AES-7","author":"Raney","year":"1971","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1478","DOI":"10.1109\/TCSVT.2016.2543118","article-title":"NIC: A Robust Background Extraction Algorithm for Foreground Detection in Dynamic Scenes","volume":"27","author":"Banos","year":"2017","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"9769","DOI":"10.1109\/ACCESS.2019.2891084","article-title":"Locally Statistical Dual-Mode Background Subtraction Approach","volume":"7","author":"Hua","year":"2019","journal-title":"IEEE Access"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1529","DOI":"10.1016\/S0167-8655(02)00116-2","article-title":"Background subtraction based on logarithmic intensities","volume":"23","author":"Wu","year":"2002","journal-title":"Pattern Recognit. Lett."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2972","DOI":"10.1109\/TGRS.2006.876288","article-title":"Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery","volume":"44","author":"Moser","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1109\/TIP.2004.838698","article-title":"Image change detection algorithms: A systematic survey","volume":"14","author":"Radke","year":"2005","journal-title":"IEEE Trans. Image Process."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1406","DOI":"10.1049\/el.2016.1764","article-title":"Adaptive imaging of anisotropic target based on circular-SAR","volume":"52","author":"Zhao","year":"2016","journal-title":"Electron. Lett."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1117\/1.JRS.8.083583","article-title":"Modified log-ratio operator for change detection of synthetic aperture radar targets in forest concealment","volume":"8","author":"Gao","year":"2014","journal-title":"J. Appl. Remote Sens."},{"key":"ref_25","first-page":"1","article-title":"Performance of a High-Resolution Polarimetric SAR Automatic Target Recognition System","volume":"6","author":"Novak","year":"1993","journal-title":"Linc. Lab. J."},{"key":"ref_26","unstructured":"Ester, M., Kriegel, H.P., Sander, J., and Xu, X. (1996, January 2\u20134). A Density-based Algorithm for Discovering Clusters a Density-based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, Portland, OR, USA."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1109\/TPAMI.1984.4767478","article-title":"K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality","volume":"PAMI-6","author":"Selim","year":"1984","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Kovvali, N., Banavar, M., and Spanias, A. (2013). An Introduction to Kalman Filtering with MATLAB Examples, Morgan & Claypool.","DOI":"10.1007\/978-3-031-02536-5"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/10\/1190\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:53:30Z","timestamp":1760187210000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/10\/1190"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,19]]},"references-count":28,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2019,5]]}},"alternative-id":["rs11101190"],"URL":"https:\/\/doi.org\/10.3390\/rs11101190","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5,19]]}}}