A building detection algorithm based on feature fusion in high resolution SAR images

被引：0
作者：
Su, Juan [1 ]
Zhang, Qiang [2 ]
Chen, Wei [1 ]
Wang, Jiping [2 ]
机构：
[1] The Second Artillery Engineering University, Xi'an
[2] The Second Artillery Equipment Institute, Beijing
来源：
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2014年 / 43卷 / 09期
关键词：
Building detection; D-S evidence theory; Feature fusion; SAR image processing; Visual attention model;
D O I：
10.13485/j.cnki.11-2089.2014.0162
中图分类号：
学科分类号：
摘要：
A building detection algorithm based on 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 fuse the focuses of attention, bright lines and shadow regions, and then the buildings are detected. Experimental results demonstrate that, the proposed algorithm has high detection accuracy for rectangular buildings in SAR images.
引用
收藏
页码：939 / 944
页数：5
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