Acta Geodaetica et Cartographica Sinica >
A Building Detection Algorithm Based on Visual Attention and Feature Fusion in High Resolution SAR Images
Received date: 2014-02-14
Revised date: 2014-05-15
Online published: 2014-09-25
A building detection algorithm based on visual attention and feature fusion is proposed for high spatial resolution SAR images. Firstly, visual attention model is constructed on the basis of great difference between buildings and backgrounds, and used to segment the ROIs of buildings. Secondly, bright lines and shadow regions are extracted in the segmented ROIs. Finally, D-S evidence theory is used to fusion the focus of attention, bright line and shadow region, and then the buildings are detected. Experimental results demonstrate that, the proposed algorithm has high detection accuracy for rectangular buildings in SAR images.
SU Juan ZHANG Qiang CHEN Wei WANG Jiping . A Building Detection Algorithm Based on Visual Attention and Feature Fusion in High Resolution SAR Images[J]. Acta Geodaetica et Cartographica Sinica, 2014 , 43(9) : 939 -944 . DOI: 10.13485/j.cnki.11-2089.2014.0162
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