首页 | 本学科首页   官方微博 | 高级检索  
     检索      

黄土丘陵沟壑区遥感影像信息面向对象分类方法提取
引用本文:买凯乐,张文辉.黄土丘陵沟壑区遥感影像信息面向对象分类方法提取[J].农业机械学报,2011,42(4):153-158.
作者姓名:买凯乐  张文辉
作者单位:西北农林科技大学西部环境与生态教育部重点实验室,陕西杨凌,712100
基金项目:“十一五”国家科技支撑计划资助项目(2006BAD09B03—03);中科院科学院西部行动计划资助项目(KZCX2—XB2—05)
摘    要:探索了基于面向对象分类方法提取黄土丘陵沟壑区高分辨率遥感影像土地信息的途径。以燕沟典型小流域为例,基于ALOS的多光谱、全色立体影像并辅以数字高程模型DEM和NDVI数据,进行面向对象的多尺度分割,利用阈值逐次提取与该区生态系统恢复、农业生产和生活实际密切相关的灌丛、林地、草地、耕地、果园、居住地和水体共7种土地利用类型,得到的分类精度为77.73%。

关 键 词:黄土丘陵沟壑区  遥感影像  信息提取  面向对象分类

Object-oriented Classification Approach for Remote Sensing Imagery Information Extraction in Loess Hilly-gully Region
Mai Kaile and Zhang Wenhui.Object-oriented Classification Approach for Remote Sensing Imagery Information Extraction in Loess Hilly-gully Region[J].Transactions of the Chinese Society of Agricultural Machinery,2011,42(4):153-158.
Authors:Mai Kaile and Zhang Wenhui
Institution:Northwest A & F University;Northwest A & F University
Abstract:The object-oriented classification approach was employed in loess hilly-gully region.Taking typical watershed Yan'gou as example,ALOS satellite images were used.The object-oriented multi-segmentation was carried out with multi-spectral,panchromatic imagery,auxiliary data of digital evaluation model(DEM) and the normalized difference vegetation index(NDVI).The land-use categories closely related to ecosystem restoration,farming and living,such as forest,grass,farmland,orchard,settlement and water,were classi...
Keywords:Loess hilly-gully region  Remote sensing imagery  Information extraction  Object-oriented classification
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《农业机械学报》浏览原始摘要信息
点击此处可从《农业机械学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号