摘要
利用VHR影像丰富的地物变化信息对VHR影像的变化检测研究具有重要意义。从多尺度分割得到的对象出发,探讨面向对象的多变量变化检测(MAD)方法。研究得到面向对象的变化检测(OB-DFPS)的总体精度93.2%,Kappa系数0.862。并和传统的面向像元的差异影像方法进行对比,比较分析得到面向对象的变化检测方法鲁棒性更强,精度更高。
Remote sensed imagery with very high resolution （VHR） contains substantial spatial information. Multi-scale segmentation algorithm was usded to construct the hierarchical system of objects. The relationships between all features, such as spectral, texture, topography and shape, were analyzed based on canonical correlation analysis （CCA）. A difference image was developed by using multivariate alteration detection technology （MAD）. The propsed object-oriented double-windows flexible pace searching （OB-DFPS） method achieved accuracy of 93.2% , with Kappa coefficiant of 0. 862. After compared with traditional pixel-based method, the proposed OB-DFPS method was more robust.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2013年第4期184-189,共6页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家高技术研究发展计划(863计划)资助项目(2006AA10Z204)
美国国家自然科学基金项目(EF0410408
CCF-0120778)
关键词
高分辨率遥感影像
面向对象
多变量变化检测
Very high resolution Object-oriented Multivariate alteration detection
