高分辨率SAR图像中建筑物特征融合检测算法

doi:10.13485/j.cnki.11-2089.2014.0162

测绘学报 ›› 2014, Vol. 43 ›› Issue (9): 939-944.doi: 10.13485/j.cnki.11-2089.2014.0162

高分辨率SAR图像中建筑物特征融合检测算法

苏娟¹,张强²,陈炜¹,王继平²

1. 第二炮兵工程大学
2. 第二炮兵装备研究院

收稿日期:2014-02-14 修回日期:2014-05-15 出版日期:2014-09-20 发布日期:2014-09-25
通讯作者: 苏娟 E-mail:suj04@mails.tsinghua.edu.cn
基金资助:
国家自然科学基金

A Building Detection Algorithm Based on Visual Attention and Feature Fusion in High Resolution SAR Images

SU Juan¹,ZHANG Qiang²,CHEN Wei¹,WANG Jiping²

1. The Second Artillery Engineering University
2. The Second Artillery Equipment Institute

Received:2014-02-14 Revised:2014-05-15 Online:2014-09-20 Published:2014-09-25
Contact: SU Juan E-mail:suj04@mails.tsinghua.edu.cn

摘要/Abstract

摘要：

针对高分辨率SAR图像中的建筑物检测问题，提出了一种基于视觉注意和特征融合的检测算法。首先，根据SAR图像中建筑物目标与背景存在较大差异的特点，采用视觉注意机制进行建筑物的感兴趣区分割；然后，提取位于感兴趣区域内的高亮线条和阴影区域；最后，采用D-S证据理论对注意焦点、高亮线条和阴影区域进行特征融合，实现建筑物目标的检测。实验结果表明，本文算法对矩形建筑物具有较高的检测精度。

关键词: SAR图像处理, 建筑物检测, 视觉注意机制, D-S证据理论, 特征融合

Abstract:

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.

Key words: SAR image processing, Building detection, Visual attention model, D-S evidence theory, Feature fusion

中图分类号:

TP751

苏娟张强陈炜王继平. 高分辨率SAR图像中建筑物特征融合检测算法[J]. 测绘学报, 2014, 43(9): 939-944.

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.

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高分辨率SAR图像中建筑物特征融合检测算法

A Building Detection Algorithm Based on Visual Attention and Feature Fusion in High Resolution SAR Images

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