{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T10:38:18Z","timestamp":1769942298576,"version":"3.49.0"},"reference-count":28,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T00:00:00Z","timestamp":1701129600000},"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":["62201011"],"award-info":[{"award-number":["62201011"]}],"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":["62131001"],"award-info":[{"award-number":["62131001"]}],"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":["KM202210009004"],"award-info":[{"award-number":["KM202210009004"]}],"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":["110051360023XN224-8"],"award-info":[{"award-number":["110051360023XN224-8"]}],"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":["110051360023XN211"],"award-info":[{"award-number":["110051360023XN211"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"R&amp;D Program of the Beijing Municipal Education Commission","award":["62201011"],"award-info":[{"award-number":["62201011"]}]},{"name":"R&amp;D Program of the Beijing Municipal Education Commission","award":["62131001"],"award-info":[{"award-number":["62131001"]}]},{"name":"R&amp;D Program of the Beijing Municipal Education Commission","award":["KM202210009004"],"award-info":[{"award-number":["KM202210009004"]}]},{"name":"R&amp;D Program of the Beijing Municipal Education Commission","award":["110051360023XN224-8"],"award-info":[{"award-number":["110051360023XN224-8"]}]},{"name":"R&amp;D Program of the Beijing Municipal Education Commission","award":["110051360023XN211"],"award-info":[{"award-number":["110051360023XN211"]}]},{"name":"North China University of Technology Research funds","award":["62201011"],"award-info":[{"award-number":["62201011"]}]},{"name":"North China University of Technology Research funds","award":["62131001"],"award-info":[{"award-number":["62131001"]}]},{"name":"North China University of Technology Research funds","award":["KM202210009004"],"award-info":[{"award-number":["KM202210009004"]}]},{"name":"North China University of Technology Research funds","award":["110051360023XN224-8"],"award-info":[{"award-number":["110051360023XN224-8"]}]},{"name":"North China University of Technology Research funds","award":["110051360023XN211"],"award-info":[{"award-number":["110051360023XN211"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Synthetic Aperture Radar (SAR) image change detection aims to detect changes with images of the same area acquired at different times. It has wide applications in environmental monitoring, urban planning and resource management. Traditional change detection methods for spaceborne SAR time-series images typically adopt a pairwise comparison strategy to obtain multi-temporal change information. However, this kind of method has the problem of losing the overall change information, which is time consuming. To address this problem, this paper proposes a new change detection algorithm for spaceborne SAR time-series data based on SAR-SIFT-Logarithm Background Subtraction. This algorithm combines the SAR-SIFT image registration technology with Logarithm Background Subtraction. The method first preprocesses the input time-series data with steps like noise reducing and radiometric calibration. Then, the images will be coregistered by the SAR-SIFT step to avoid mismatches-induced detection performance degradation. Next, the parts that remained unchanged throughout the time period are modeled with a median filter to obtain the static background. The change information is then obtained via the subtraction of background and CFAR detection and clustering. The proposed algorithm is validated using the Sentinel-1 GRD and PAZ-1 time-series dataset. Experimental results demonstrate that the proposed method effectively detects the overall change information and reduces processing time compared to traditional pairwise comparison methods.<\/jats:p>","DOI":"10.3390\/rs15235533","type":"journal-article","created":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T07:40:01Z","timestamp":1701157201000},"page":"5533","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Spaceborne SAR Time-Series Images Change Detection Based on SAR-SIFT-Logarithm Background Subtraction"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7442-4605","authenticated-orcid":false,"given":"Wenjie","family":"Shen","sequence":"first","affiliation":[{"name":"Radar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing 100144, China"}]},{"given":"Yunzhen","family":"Jia","sequence":"additional","affiliation":[{"name":"Radar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing 100144, China"}]},{"given":"Yanping","family":"Wang","sequence":"additional","affiliation":[{"name":"Radar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing 100144, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3020-5715","authenticated-orcid":false,"given":"Yun","family":"Lin","sequence":"additional","affiliation":[{"name":"Radar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing 100144, China"}]},{"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"Radar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing 100144, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4925-440X","authenticated-orcid":false,"given":"Zechao","family":"Bai","sequence":"additional","affiliation":[{"name":"Radar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing 100144, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5793-4363","authenticated-orcid":false,"given":"Wen","family":"Jiang","sequence":"additional","affiliation":[{"name":"Radar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing 100144, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3248","DOI":"10.1109\/JSTARS.2014.2344017","article-title":"Unsupervised change detection in multitemporal SAR images over large urban areas","volume":"7","author":"Hu","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"999","DOI":"10.14358\/PERS.74.8.999","article-title":"Urban change detection based on coherence and intensity characteristics of SAR imagery","volume":"74","author":"Liao","year":"2008","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2664","DOI":"10.1109\/TGRS.2014.2363548","article-title":"Building change detection in multitemporal very high resolution SAR images","volume":"53","author":"Marin","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1080\/01431169108929656","article-title":"Change detection in SAR imagery","volume":"12","author":"White","year":"1991","journal-title":"Int. J. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"874","DOI":"10.1109\/TGRS.2004.842441","article-title":"An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images","volume":"43","author":"Bazi","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.isprsjprs.2016.09.013","article-title":"3D change detection\u2014Approaches and applications","volume":"122","author":"Qin","year":"2016","journal-title":"J. Photogramm. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1109\/LGRS.2013.2275738","article-title":"Using combined difference image and k-means clustering for SAR image change detection","volume":"11","author":"Zheng","year":"2013","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1109\/LGRS.2011.2167211","article-title":"A neighborhood-based ratio approach for change detection in SAR images","volume":"9","author":"Gong","year":"2012","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1122","DOI":"10.1109\/LGRS.2012.2191387","article-title":"Wavelet fusion on ratio images for change detection in SAR images","volume":"9","author":"Ma","year":"2012","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_10","first-page":"3099","article-title":"Background subtraction techniques","volume":"4","author":"McIvor","year":"2000","journal-title":"Proc. Image Vis. Comput."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"033003","DOI":"10.1117\/1.3456695","article-title":"Comparative study of background subtraction algorithms","volume":"19","author":"Benezeth","year":"2010","journal-title":"J. Electron. Imaging"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Brutzer, S., H\u00f6ferlin, B., and Heidemann, G. (2011, January 20\u201325). Evaluation of background subtraction techniques for video surveillance. Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, USA.","DOI":"10.1109\/CVPR.2011.5995508"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Shen, W., Lin, Y., Zhao, Y., Yu, L., and Hong, W. (2017, January 23\u201328). Initial result of single channel CSAR GMTI based on background subtraction. Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, USA.","DOI":"10.1109\/IGARSS.2017.8127117"},{"key":"ref_14","first-page":"1048","article-title":"Moving Target Monitoring Algorithm Based on High-frame-rate SAR Images","volume":"11","author":"Chen","year":"2022","journal-title":"J. Radars"},{"key":"ref_15","first-page":"1087","article-title":"Multitemporal Spaceborne SAR Data for Urban Change Detection in China","volume":"5","author":"Ban","year":"2012","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Ye, X., Zhang, H., Wang, C., Zhang, B., Wu, F., and Tang, Y. (2013, January 21\u201326). SAR image change detection based on object-based method. Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium(IGARSS), Melbourne, Australia.","DOI":"10.1109\/IGARSS.2013.6723222"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2958","DOI":"10.1109\/JSTARS.2019.2918211","article-title":"SAR image registration using an improved SAR-SIFT algorithm and Delaunay-triangulation-based local matching","volume":"12","author":"Paul","year":"2019","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Dellinger, F., Delon, J., Gousseau, Y., Michel, J., and Tupin, F. (2012, January 22\u201327). SAR-SIFT: A SIFT-like algorithm for applications on SAR images. Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6350671"},{"key":"ref_19","first-page":"149","article-title":"SAR-SIFT for matching multiple SAR images and radargrammetry","volume":"85","author":"Dubois","year":"2017","journal-title":"PFG-J. Photogramm. Remote Sens. Geoinf. Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.rse.2011.05.028","article-title":"GMES Sentinel-1 mission","volume":"120","author":"Torres","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Geudtner, D., Torres, R., Snoeij, P., Davidson, M., and Rommen, B. (2014, January 13\u201318). Sentinel-1 system capabilities and applications. Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, Quebec City, QC, Canada.","DOI":"10.1109\/IGARSS.2014.6946711"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2220","DOI":"10.1109\/TGRS.2015.2497902","article-title":"Interferometric processing of Sentinel-1 TOPS data","volume":"54","author":"Gonzalez","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1109\/JSTARS.2017.2755672","article-title":"OpenSARShip: A dataset dedicated to Sentinel-1 ship interpretation","volume":"11","author":"Huang","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Vreugdenhil, M., Wagner, W., Bauer-Marschallinger, B., Pfeil, I., Teubner, I., R\u00fcdiger, C., and Strauss, P. (2018). Sensitivity of Sentinel-1 backscatter to vegetation dynamics: An Austrian case study. Remote Sens., 10.","DOI":"10.3390\/rs10091396"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.rse.2017.07.015","article-title":"Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications","volume":"199","author":"Veloso","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.rse.2011.09.026","article-title":"Sentinels for science: Potential of Sentinel-1,-2, and-3 missions for scientific observations of ocean, cryosphere, and land","volume":"120","author":"Rott","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_27","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_28","doi-asserted-by":"crossref","first-page":"083583","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."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/23\/5533\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T21:32:21Z","timestamp":1760131941000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/23\/5533"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,28]]},"references-count":28,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2023,12]]}},"alternative-id":["rs15235533"],"URL":"https:\/\/doi.org\/10.3390\/rs15235533","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,28]]}}}