面向高分辨率遥感影像敏感目标识别的局部特征描述算法  

Sensitive target recognition-oriented local feature description algorithm in high-resolution remote images

作　　者：田昊[1] 李国辉[1] 贾立[1] 徐树奎[1] 

机构地区：[1]国防科学技术大学信息系统与管理学院,湖南长沙410073

出　　处：《系统工程与电子技术》2011年第10期2311-2316,共6页Systems Engineering and Electronics

基　　金：国家自然科学基金(60902093)资助课题

摘　　要：提出了一种用于高分辨率遥感影像中敏感目标识别的局部描述算法——归一化像素分布直方图局部描述子。首先提取目标边缘,将目标边缘上每一像素点依次作为坐标原点构建"对数-极坐标"坐标系,规格化所有像素点的像素值,利用当前坐标原点以外的目标边缘像素点的分布来构建局部描述子。用提出的局部描述算法对敏感目标提取局部特征,构建敏感目标局部特征数据库。同时对待识别目标提取局部特征后与敏感目标局部特征数据库中的特征使用一种"分步匹配"的策略进行匹配,完成目标识别。A local feature description algorithm for sensitive target recognition oriented in high-resolution remote images, which is called the normalized pixel distribution histogram local descriptor （NPDHLD）, is proposed. First object edges are extracted. The ＂log polar＂ coordinate is established by using every edge points as the coordinate origin. Normalize every pixel value, the local descriptor is constructed by capturing the distribution of the object edge pixel points which are situated beyond the current origin point. The sensitive objects are described with the proposed local description algorithm to build a sensitive objects feature database. The local features extracting from the objects to be recognized are matched with the ones in the sensitive object database under a ＂two step matching＂ strategy. Object recognition is completed after matching.

关 键 词：图像匹配 目标识别 局部描述子 匈牙利法 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]