Multi-angle SAR image fusion algorithm based on visibility classification of non-layover region targets

Shibing Zhu, Da Ran
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引用次数: 5

Abstract

In order to reduce the layover region in traditional single-angle synthetic aperture radar (SA-SAR) image of mountainous area, a multi-angle synthetic aperture radar (MA-SAR) image fusion algorithm based on visibility classification of non-layover region targets is proposed. By defining a practical index named multi-angle visibility of non-layover region targets which used for automatic pixel classification, the proposed algorithm calculates the visibility index of every pixel of SA-SAR images obtained from different observation angles and fuses those pixels with the same visibility index to form the fused image. The fused image can effectively eliminate all adverse effects on target detection and classification which caused by the phenomenon of layover, and realize a precision MA-SAR imaging of mountainous area. The simulation results have verified the effectiveness of the proposed algorithm.
基于非停留区域目标可见性分类的多角度SAR图像融合算法
为了减少传统单角度合成孔径雷达(SA-SAR)山地图像中的停留区域,提出了一种基于非停留区域目标可见性分类的多角度合成孔径雷达(MA-SAR)图像融合算法。该算法通过定义一种实用的非停留区域目标多角度可见性指标,用于像元自动分类,计算从不同观测角度获得的SA-SAR图像中每个像元的可见性指数,并将具有相同可见性指数的像元进行融合,形成融合图像。融合后的图像可以有效消除中途停留现象对目标检测和分类的不利影响,实现对山区的高精度MA-SAR成像。仿真结果验证了该算法的有效性。
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