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| Data Fusion of Multi-Temporal SAR Remote Sensing with Improved D-S Algorithm and Application to Change Detection of Urban Terrain |
| Cao Guang-zhen①; Hou Peng②; Jin Ya-qiu③; Mao Xian-qiang④ |
| ①Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration (LRCVES/CMA), Beijing 100081, China; ②Resources School, Beijing Normal University, Beijing 100875, China;③The Key Laboratory for Wave Scattering and Remote Sensing Information (Ministry of Education), Fudan University, Shanghai 200433, China;④Environmental Shool, Beijing Normal University, Beijing 100875, China |
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Abstract Dempster-Shafer (D-S) algorithm is improved to fuse different features of multi-temporal SAR images to detect change detection of urban areas. Firstly, Dempster-Shafer is developed by not only considering the certainty of the evidence, but also considering the average support of the evidence to different subsets in the assignment framework so that it can give more reliable combination result. Secondly, amplitude ratio feature and Euclid distance of the probability density distribution function in Pearson graph from different temporal SAR images are extracted to present change feathers in different scales. Finally, the improved Dempster-Shafer algorithm is applied to fuse the two different features to detect change information of SAR images. An example of the Shanghai Lujiazui area using the ERS-2 SAR image well demonstrates the accuracy of the improved fusion algorithm.
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Received: 25 December 2006
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2008, Vol. 30 
