黄土丘陵沟壑区遥感影像信息面向对象分类方法提取OA北大核心CSCDCSTPCD
Object-oriented Classification Approach for Remote Sensing Imagery Information Extraction in Loess Hilly-gully Region
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%.
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, fanning and living, such as fo…查看全部>>
买凯乐;张文辉
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
计算机与自动化
黄土丘陵沟壑区遥感影像信息提取面向对象分类
Loess hilly-gully region Remote sensing imagery Information extraction Objectoriented classification
《农业机械学报》 2011 (4)
153-158,6
"十一五"国家科技支撑计划资助项目(2006BAD09B03-03)和中科院科学院西部行动计划资助项目(KZCX2-XB2-05)
评论