城市生态环境基础状况遥感信息提取研究——以上海市中心城区为例

综合考虑遥感解译能力和生态环境效应,将城市生态环境基础状况分为八大类型.以上海市中心城区为例,探讨城市生态环境基础状况的遥感影像信息提取方法.以TM与SPOT融合影像为数据源,基于已有的GIS数据库中对八大类的目视解译分类知识,建立了不同类型在融合影像的三色合成图像和融合图像不同波段比值的彩色合成图像的分类回归树识别方法,实现了大范围城市居住区信息,水体信息,以及绿化和农业四类信息提取.

REMOTE SENSING INFORMATION EXTRACTION OF URBAN ENTIRONMENT

By considering the urban entironment effect and remote sensing interpretation ability synthetically,the urban entironment basal status was classified into eight classes.Taking the Shanghai within outer line as a case,information extraction methods of urban entironment basal status from remote sensing images were studied.By taking TM and SPOT fusion image as the remote sensing data sources,and based on the knowledge of eight classes identification from high resolution remote sensing images with eyes in the GIS database,classification and regression tree recognition methods were built for different types of urban entironment basal status from the fused images and the fusion data ratio images.Four classes information including residential areas,water bodies,urban virescence and agriculture were extracted from the remote sensing data for a large area of city.