面向目标识别的遥感变化检测技术综述

Review of Remote Sensing Change Detection for Target recognition

遥感图像目标检测与识别是遥感图像处理与分析领域备受关注的课题,其核心任务是判断遥感图像中是否存在感兴趣的目标,并对其进行检测、分类与确认。本文主要围绕面向目标的遥感变化检测技术,分析了各种遥感变化检测方法的特点,综述当前遥感图像目标检测与识别的主要处理方法,在此基础上指出研究中尚存在的问题和研究动向。

Target detection and recognition of remote sensing images are both active topics in the field of remote sensing image processing and analysis. The core tasks of target detection and recognition of remote sensing images are to decide whether there are targets of interest in those images and succeedingly extract, classify and identify those targets when there exist any. This article focuses on various object-oriented remote sensing change detection methods, and analyses the feature of those methods. Finally on the basis of our survey on current methods in remote sensing image target detection and recognition, we point out existing problems and propose possible trends in this research area.