Auto-interpretation for Bridges over Water in High-resolution Space-borne SAR Imagery
Zhang Shao-ming① He Xiang-chen② Zhang Xiao-hu① Sun Yi-wei①
①(Research Center of Remote Sensing and Space Information Tongji University, Shanghai 200092, China) ②(25th Institute of China Aerospace Science and Industry Corporation, Beijing 100854, China)
Abstract：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 distribution, shape and gray characteristic in low-reflection area, the Regions Of Interested (ROI) are detected. For each ROI, five key parameters of bridge are estimated based on imaging model of radar, including direction, length over water, width, elevation over water, thickness of body and the real position for orthographic projection. Experiment with TerraSAR-X image indicates that the method is effective.
张绍明, 何向晨, 张小虎, 孙义威. 高分辨率星载SAR图像水上桥梁解译[J]. 电子与信息学报, 2011, 33(7): 1706-1712.
Zhang Shao-Ming, He Xiang-Chen, Zhang Xiao-Hu, Sun Yi-Wei. Auto-interpretation for Bridges over Water in High-resolution Space-borne SAR Imagery. , 2011, 33(7): 1706-1712.
2011, Vol. 33 
