期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2002
卷号：XXXIV Part 1
出版社：Copernicus Publications
摘要：One of the most promising approaches to solve the challenging task of urban land-use classification is integration of multi-spectral satellite image data and range data. In this paper, height data acquired by airborne laser scanning is not only applied for geometric correction of the multi-spectral satellite image data by the generation of ortho-images, but also integrated in urban environment classification. Laser scanning data acquired by Airborne 3D Imager is used to obtain information on the location height above the terrain surface for each pixel. This information can be applied in order to separate urban objects higher than the ground level from objects that are at ground level, e.g., buildings, trees, streets, grass-covered areas, water bodies and bare land etc. It is demonstrated that the classification of urban scenes is significantly improved by integrating multi-spectral and geometric datasets
