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| Citation: | 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[J]. Journal of Radars, 2015, 4(5): 582-590. doi: 10.12000/JR15073
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Change Detection of High Resolution SAR Images by the Fusion of Coherent/Incoherent Information
DOI: 10.12000/JR15073
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Abstract
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.-
Keywords:
- High resolution SAR,
- Change detection,
- Evidence theory,
- Fusion
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References
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