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：2004
卷号：XXXV Part B3
页码：393-396
出版社：Copernicus Publications
摘要：Traditional pixel-based approaches are based exclusively on the grey value of pixel itself. Thereby only the spectral information is used for the classification. The situation becomes worse when extracting the certain features only. An object-oriented image analysis is implemented in order to overcome the limitation mentioned above. The existing software, eCognition v3.0 allows the polygon based classification process. It is based on fuzzy logic, allows the integration of a broad spectrum of different object features, such as spectral values, shape and texture. This study demonstrated the extraction of buildings and roads from the high-resolution Ikonos pan-sharpened image data by first dividing it into the segments and then classifying it using the spectral, spatial and contextual information. The test site was agro-industrial area in the city of Zonguldak which has rolling topography along the Black Sea coast. Land use classification results as well as the spatial information can be exported to GIS environment for evaluation purposes with existing larger scale cadastral maps and other available ground truth materials
关键词：Hierarchical; Contextual; Segmentation; Object-oriented; Classification; High resolution
