高分辨率遥感影像上基于形状特征的船舶提取  

Extract Ship Targets from High Spatial Resolution Remote Sensed Imagery with Shape Feature

作　　者：汪闽[1] 骆剑承[1] 明冬萍[1] 

机构地区：[1]中国科学院地理科学与资源研究所

出　　处：《武汉大学学报（信息科学版）》2005年第8期685-688,共4页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金资助项目(40401039);国家863计划资助项目(2002AA135230);中国博士后科学基金资助项目。

摘　　要：由于高分辨率遥感影像上靠岸船舶的灰度、纹理特征往往和港口地面接近,与离岸船舶相比,其自动提取与识别相对更为困难,为此,为离岸、靠岸船舶的提取设计了不同方案。实验证明了方法的有效性。Different routes are designed and applied to extract the two kinds of ships in this paper. The method can be divided into three main steps： ①extract water polygons with histogram segmentation, ② extract holes in the water polygons with morphological operations as the possible sailing ships, and extract possible moored ship with the identification of salients along the water boundary, and then ③ screen real ships out of these possible ships with more shape constraints. Experiments give good results.

关 键 词：高分辨率遥感 信息提取 目标识别 形状 船舶 

分 类 号：P237.3[天文地球—摄影测量与遥感]