基于NDBI指数法的城镇用地影像识别分析与制图

高级空间热辐射热反射探测仪(ASTER)遥感影像与一般遥感影像相比,能为对地观测提供更高质量的信息源。本文以福州市的ASTER影像为数据源,用归一化建筑指数(NDBI)提取城镇用地专题信息,并与非监督和监督自动分类提取的结果作比较,结果表明:运用NDBI指数法提取ASTER影像的城镇用地专题信息,不仅能获取较高精度,而且能在一定程度上区分新老建筑。

Investigation on Extracting the Space Information of Urban Land-use from High Spectrum Resolution Image of ASTER by NDBI Method

ASTER image is one of the high spectrum resolution remote sensing images which could serve as new information resources of higher quality. NDBI is derived from the NDVI and is rewritten into the formula of NDBI=(ASTER4-ASTER2)/(ASTER4 ASTER2). In this study, an ASTER image of Fuzhou City was used to extract the urban land-use information of the research area by NDBI method. The result was testified by comparing to the other two methods: PCA and Unsupervised Classification with the same ASTER image and Supervised Classification with the TM image. The result showed that The interpretation result by NDBI method is better than those by automatically classification method. The NDBI method not only has higher precision, but also can distinguish the old buildings from the new ones.