从单幅VHR SAR图像中检测建筑物雷达足迹

Jinxing Chen, Fan Wu, Chao Wang, Wanming Lei
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引用次数: 0

摘要

新的先进的甚高分辨率(VHR)合成孔径雷达(SAR)传感器能够达到亚米分辨率,这为人工结构的精细分析提供了机会。本文提出了一种基于VHR SAR场景的建筑雷达足迹检测与二维重建方法。该方法基于从图像中提取一组低级特征,并使用感知组织方法将其组成为更结构化的原语。基于山墙建筑后向散射模型,首先采用圆形探测器检测候选建筑,然后采用直线探测器提取屋顶边缘,最后重建雷达足迹。实验结果证明了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of building radar footprints from single VHR SAR images
The new advanced very high resolution (VHR) synthetic aperture radar (SAR) sensors are capable of achieving sub-meter resolution, which offers the opportunity for a fine level of analysis of man-made structures. In this paper, we present a method for the detection and 2-D reconstruction of building radar footprints from VHR SAR scenes. The method is based on the extraction of a set of low-level features from the image and on their composition to more structured primitives using a perceptual organization method. Based on the backscattering model of gable-roofed building, building candidates are firstly detected with a circular detector proposed in this paper, then roof edges are extracted by a line detector and radar footprints are finally reconstructed. Experimental results confirm that our algorithm performs well.
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