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：2010
卷号：XXXVIII - 4/C7
出版社：Copernicus Publications
摘要：Semi–natural areas are characterized by cultivated and natural areas with continuous transition zones. Especially in the alpine regions, this type of land-cover is predominant. The paper presents a method to classify semi –natural alpine areas by combining the spatial detail of orthophotos with the spectral information of SPOT satellite images. As case study, an alpine region in South Tyrol (Italy) has been considered. A four step approach is applied: (1) object delimitation, (2) object information assignment, (3) data mining and (4) classification. First, a segmentation procedure on orthophotos is used for an accurate delimitation of spatial objects, namely the segment. In a second step, spectral information from SPOT data as well as textural information from orthophotos are assigned to the segments. In a third step, those information are inserted in a data mining procedure, reducing the information to the most relevant ones for the next step based on classification. The classification procedure is mainly based on a decision tree approach. The main aim of this study was to compare the results from standard pixel vs. object-based classification approach by combining and considering different attributes (spectral, textures, topography) with decision tree approach and by comparing two classification approaches (maximum likelihood, decision tree). The study shows the potential of mapping semi–natural areas by combining high geometric detail (orthophotos) with spectral information of satellites images (SPOT).
关键词：Object-based; texture measurements; data mining; decision tree; semi-natural areas
