Fast Algorithm for Maneuvering Target Detection in SAR Imagery Based on Gridding and Fusion of Texture Features

作     者：YUAN Zhan HE You CAI Fuqing 

作者机构：Research Institute of Information Fusion Technology Naval Aeronautical and Astronautical University 128 Erma Road Yantai264001 China 

出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)

年 卷 期：2011年第14卷第3期

页      面：169-176页

核心收录：

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 081802[工学-地球探测与信息技术] 08[工学] 0818[工学-地质资源与地质工程] 081602[工学-摄影测量与遥感] 0816[工学-测绘科学与技术] 

基　　金：Supported by the National Natural Science Foundation of China (No. 61032001  No.61002045) 

主　　题：synthetic aperture radar imagery target detection texture feature gridding gray-level co-occurrence matrix fusion 

摘      要：Designing detection algorithms with high efficiency for Synthetic Aperture Radar(SAR) imagery is essential for the operator SAR Automatic Target Recognition(ATR) *** work abandons the detection strategy of visiting every pixel in SAR imagery as done in many traditional detection algorithms,and introduces the gridding and fusion idea of different texture fea-tures to realize fast target *** first grids the original SAR imagery,yielding a set of grids to be classified into clutter grids and target grids,and then calculates the texture features in each *** fusing the calculation results,the target grids containing potential maneuvering targets are *** dual threshold segmentation technique is imposed on target grids to obtain the regions of *** fused texture features,including local statistics features and Gray-Level Co-occurrence Matrix(GLCM),are *** efficiency and superiority of our proposed algorithm were tested and verified by comparing with existing fast de-tection algorithms using real SAR *** results obtained from the experiments indicate the promising practical application val-ue of our study.