摘要
Abstract
Object-oriented remote-sensing information extraction technology can integrate spectrum,space,texture and oth-er characteristics to improve the accuracy of image classification. Using the relevant data,taking object-oriented method as the core,the author studied the extraction of land use information( especially rubber forest information)in Xishuangbanna area through such technological links as image preprocessing,image enhancement,spectral curve extraction,feature extraction,segmentation and image classification. This study explored the effective method for the rapid acquisition of land use information in this area according to remote-sensing data,and analyzed the land use changes in the study area based on 2-term data. Finally,it was concluded that the object-oriented method was feasible and superior in image classification in this area,and it could relatively improve the classifi-cation precision. At the same time,the change situation of land use in Xishuangbanna area was extracted with this method,which can provide basic information for the comprehensive study of this area.关键词
面向对象/分割/西双版纳/橡胶林Key words
Object-oriented/Segmentation/Xishuangbanna/Rubber forest分类
信息技术与安全科学
