Airport automatic detection in large space-borne SAR imagery  

作　　者：Shaoming Zhang Yi Lin Xiaohu Zhang Yingying Chen 

机构地区：[1]Research Center of Remote Sensing and Spatial Informatics Technology, Tongji University, Shanghai 200092, R R. China

出　　处：《Journal of Systems Engineering and Electronics》2010年第3期390-396,共7页系统工程与电子技术（英文版）

摘　　要：A method to detect airports in large space-borne synthetic aperture radar（SAR） imagery is studied.First,the large SAR imagery is segmented according to amplitude characteristics using maximum a posteriori（MAP） estimator based on the heavytailed Rayleigh model.The attention is then paid on the object of interest（OOI） extracted from the large images.The minimumarea enclosing rectangle（MER） of OOI is created via a rotating calipers algorithm.The projection histogram（PH） of MER for OOI is then computed and the scale and rotation invariant feature for OOI are extracted from the statistical characteristics of PH.A support vector machine（SVM） classifier is trained using those feature parameters and the airport is detected by the SVM classifier and Hough transform.The application in space-borne SAR images demonstrates the effectiveness of the proposed method.A method to detect airports in large space-borne synthetic aperture radar（SAR） imagery is studied.First,the large SAR imagery is segmented according to amplitude characteristics using maximum a posteriori（MAP） estimator based on the heavytailed Rayleigh model.The attention is then paid on the object of interest（OOI） extracted from the large images.The minimumarea enclosing rectangle（MER） of OOI is created via a rotating calipers algorithm.The projection histogram（PH） of MER for OOI is then computed and the scale and rotation invariant feature for OOI are extracted from the statistical characteristics of PH.A support vector machine（SVM） classifier is trained using those feature parameters and the airport is detected by the SVM classifier and Hough transform.The application in space-borne SAR images demonstrates the effectiveness of the proposed method.

关 键 词：synthetic aperture radar（SAR） imagery airport detection image segmentation minimum-area enclosing rectangle support vector machine（SVM）. 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置] TN958[自动化与计算机技术—控制科学与工程]