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：2005
卷号：XXXVI-8/W27
出版社：Copernicus Publications
摘要：Detecting impervious surface in urban areas is critical to understanding the effects of urbanization on ecological processes. However, it presents unique challenges due to the spatial and spectral heterogeneity of the urban surfaces and the rapid changes in land cover that occur over short time periods. In this project, we develop a hybrid approach that combines an object-oriented and a pixel-based classific ation approach. Our approach integrates remotely sensed data – Landsat, Ikonos, and Lidar – and parcel data to develop a spatial database featuring urban object information at multiple spatial scales and class resolutions. Towards these objectives, eCognition. software is used to perform image segmentation, nearest neighborhood classification, and the development of semantic rules incorporating object attribute information
