基于监督分类分区域的特征因子提取  

Extraction of Characteristics of Sub-regional Factor Based on the Supervised Classification

作　　者：薛廉[1] 周春兰[1] 

机构地区：[1]成都理工大学空间信息与技术研究所,成都610059

出　　处：《地理空间信息》2009年第2期100-102,共3页Geospatial Information

基　　金：成都理工大学地质灾害防治与地质环境保护国家重点实验室专项科研基金资助项目(DZKJ_0806)

摘　　要：以南充市2000年8月的LandsatTM影像为信息源,利用监督分类方法对南充市的土地利用进行了分类,采用了分区域提取特征因子这一改进方法,有效地降低混合像元带来的影响,提高土地利用信息的精度。By use of Landset TM image of Nanchong in August 2000, used the method named supervised classification to carry on the investigation of land utilization. An improved method which extracts factor from the features subregionally is used. The method can easily interpret such as construction sites and bare land which are not easily to interpret, and effectively reduce the impact of mixed conifer, thus improve the accuracy of land-use information.

关 键 词：监督分类 分区域 遥感影像 土地利用 

分 类 号：P237.3[天文地球—摄影测量与遥感]