Change Detection of High Resolution SAR Images by the Fusion of Coherent/Incoherent Information
Aiming at detecting the change regions of high resolution Synthetic Aperture Radar (SAR) images, we propose to use the Dempster-Shafer (D-S) evidence theory to fuse coherent/incoherent features from sensors that form an integral part of the system. First, we use the Simple Linear Iterative Clusterin...
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Format: | Article |
Language: | English |
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China Science Publishing & Media Ltd. (CSPM)
2015-10-01
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Series: | Leida xuebao |
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Online Access: | http://radars.ie.ac.cn/CN/html/R15073.htm |
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author | Yang Xiang-li Xu De-wei Huang Ping-ping Yang Wen |
author_facet | Yang Xiang-li Xu De-wei Huang Ping-ping Yang Wen |
author_sort | Yang Xiang-li |
collection | DOAJ |
description | Aiming at detecting the change regions of high resolution Synthetic Aperture Radar (SAR) images, we propose to use the Dempster-Shafer (D-S) evidence theory to fuse coherent/incoherent features from sensors that form an integral part of the system. First, we use the Simple Linear Iterative Clustering (SLIC) segmentation algorithm to implement multi-scale joint segmentation for multi-temporal SAR images. Second, we extract multiple intensity and coherence difference features on each segment level by SLIC using mean operator to complete the fusion of multi-scale features to get the multi-feature difference mapped by a ratio operator. Finally, we fuse the multi-feature difference maps to get the final change detection result using the D-S evidence theory. The experimental results in our study prove the effectiveness of our proposed computational algorithm. |
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format | Article |
id | doaj.art-3db89d5968714c67903011d6ba1ab002 |
institution | Directory Open Access Journal |
issn | 2095-283X 2095-283X |
language | English |
last_indexed | 2024-03-09T08:33:43Z |
publishDate | 2015-10-01 |
publisher | China Science Publishing & Media Ltd. (CSPM) |
record_format | Article |
series | Leida xuebao |
spelling | doaj.art-3db89d5968714c67903011d6ba1ab0022023-12-02T18:55:24ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2095-283X2015-10-014558259010.12000/JR15073Change Detection of High Resolution SAR Images by the Fusion of Coherent/Incoherent InformationYang Xiang-li0Xu De-wei1Huang Ping-ping2Yang Wen3School of Electronic Information, Wuhan UniversitySchool of Electronic Information, Wuhan UniversityRadar Research Institute, Inner Mongolia University of TechnologySchool of Electronic Information, Wuhan UniversityAiming at detecting the change regions of high resolution Synthetic Aperture Radar (SAR) images, we propose to use the Dempster-Shafer (D-S) evidence theory to fuse coherent/incoherent features from sensors that form an integral part of the system. First, we use the Simple Linear Iterative Clustering (SLIC) segmentation algorithm to implement multi-scale joint segmentation for multi-temporal SAR images. Second, we extract multiple intensity and coherence difference features on each segment level by SLIC using mean operator to complete the fusion of multi-scale features to get the multi-feature difference mapped by a ratio operator. Finally, we fuse the multi-feature difference maps to get the final change detection result using the D-S evidence theory. The experimental results in our study prove the effectiveness of our proposed computational algorithm.http://radars.ie.ac.cn/CN/html/R15073.htmHigh resolution SARChange detectionEvidence theoryFusion |
spellingShingle | Yang Xiang-li Xu De-wei Huang Ping-ping Yang Wen Change Detection of High Resolution SAR Images by the Fusion of Coherent/Incoherent Information Leida xuebao High resolution SAR Change detection Evidence theory Fusion |
title | Change Detection of High Resolution SAR Images by the Fusion of Coherent/Incoherent Information |
title_full | Change Detection of High Resolution SAR Images by the Fusion of Coherent/Incoherent Information |
title_fullStr | Change Detection of High Resolution SAR Images by the Fusion of Coherent/Incoherent Information |
title_full_unstemmed | Change Detection of High Resolution SAR Images by the Fusion of Coherent/Incoherent Information |
title_short | Change Detection of High Resolution SAR Images by the Fusion of Coherent/Incoherent Information |
title_sort | change detection of high resolution sar images by the fusion of coherent incoherent information |
topic | High resolution SAR Change detection Evidence theory Fusion |
url | http://radars.ie.ac.cn/CN/html/R15073.htm |
work_keys_str_mv | AT yangxiangli changedetectionofhighresolutionsarimagesbythefusionofcoherentincoherentinformation AT xudewei changedetectionofhighresolutionsarimagesbythefusionofcoherentincoherentinformation AT huangpingping changedetectionofhighresolutionsarimagesbythefusionofcoherentincoherentinformation AT yangwen changedetectionofhighresolutionsarimagesbythefusionofcoherentincoherentinformation |