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Volume 30 Issue 8
Jan.  2011
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Cao Guang-zhen, Hou Peng, Jin Ya-qiu, Mao Xian-qiang. Data Fusion of Multi-Temporal SAR Remote Sensing with Improved D-S Algorithm and Application to Change Detection of Urban Terrain[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1897-1900. doi: 10.3724/SP.J.1146.2006.02035
Citation: Cao Guang-zhen, Hou Peng, Jin Ya-qiu, Mao Xian-qiang. Data Fusion of Multi-Temporal SAR Remote Sensing with Improved D-S Algorithm and Application to Change Detection of Urban Terrain[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1897-1900. doi: 10.3724/SP.J.1146.2006.02035

Data Fusion of Multi-Temporal SAR Remote Sensing with Improved D-S Algorithm and Application to Change Detection of Urban Terrain

doi: 10.3724/SP.J.1146.2006.02035
  • Received Date: 2006-12-25
  • Rev Recd Date: 2007-09-20
  • Publish Date: 2008-08-19
  • 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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