高分辨率星载SAR图像水上桥梁解译

该文提出一种高分辨率星载SAR图像水上桥梁解译方法。首先计算图像分类特征的纹理描述量，包括Gabor滤波器响应、树形小波参数和灰度共生矩阵。然后利用支持向量机对图像进行分类，将SAR图像分为低反射率区域、城市建筑区和植被覆盖区。在低反射率区域中，利用目标的形状、拓扑关系和目标与背景的灰度分布完成桥梁兴趣区检测。最后利用雷达成像参数和多次回波模型计算桥梁的方向、长度、宽度、水面高度、桥体厚度和正射投影位置。利用TerraSAR-X图像进行的实验表明了该方法的有效性。

Auto-interpretation for Bridges over Water inHigh-resolution Space-borne SAR Imagery

An automatic method for detecting and interpreting bridges over water in high-resolution space-borne synthetic aperture radar imagery is proposed.Firstly,the textual features for image classification are computed,including response for Gabor filter,tree-structure wavelet coefficient and statistics of gray level co-occurrence matrix.Then the SAR imagery is classified to low-reflection area,vegetation covered area and built-up area using support vector machine classifier.By analyzing targets' space distributi...