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- 2017
基于CFAR的高分PolSAR影像桥梁自动识别方法
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Abstract:
桥梁的自动解译具有重要的应用价值，而在影像分辨率为分米级、桥梁场景复杂、桥梁目标较小的复杂情况下，准确地进行桥梁目标的自动识别比较困难。在分析高分辨率SAR（synthetic aperture radar）影像的统计特征和桥梁特征的基础上，提出了一种新的桥梁自动识别方法。首先采用基于Weibull分布的CFAR（constant false alarm rate）算法检测出潜在桥梁目标，然后基于Wishart-H-Alpha分类和形态学处理提取出桥梁场景区域，随后引入霍夫变换并利用桥梁的场景特征、几何特征和散射特征识别出桥梁目标。采用国产机载XSAR数据和美国AIRSAR数据进行验证，结果表明，该识别方法在复杂情况下能够取得令人满意的识别结果，具有较好的适应性
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