黄土丘陵沟壑区遥感影像信息面向对象分类方法提取

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%.%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 forest, grass, farmland, orchard, settlement and water, were classified with thresholds. The classification results had promising accuracies, and the overall classification accuracy was 77.73% .