遥感影像面向对象变化检测综述

Overview of Object-oriented Change Detection in Remote Sensing Images

遥感影像变化检测作为遥感领域的热点问题一直以来备受关注,面向对象变化检测技术对高分辨率遥感影像具有良好的分析处理能力,因此,越来越受到人们的青睐。对面向对象变化检测技术进行归纳、总结,根据面向对象变化检测技术流程,从数据预处理、影像分割、特征提取、变化检测、精度评价五个方面分别阐述了面向对象变化检测的研究进展,并指出了各阶段目前依然存在的问题。最后,在总结面向对象变化检测技术的基础上,对其未来的发展进行了展望。

Change detection with the remote sensing images has always been a hot issue in the field of remote sensing.Object-oriented change detection technology becomes more and more popular because of its good analysis and processing capabilities for high-resolution remote sensing images.In this paper,it summarized the object-oriented change detection methods.According to the process of object-oriented change detection,the research progress and the main problems of object-oriented change detection were explained from five aspects:data preprocessing,image segmentation,feature extraction,change detection.Finally,based on the overview of object-oriented change detection technology,its future development was prospected.