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标题：Object-based segmentation of cultural and natural landscapes using landscape models to derive contextual classification (Abstract
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作者：M. MADDEN ; T. JORDAN ; M. KIM 等
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：2006
卷号：XXXVI-4/C42
出版社：Copernicus Publications
摘要：The Center for Remote Sensing and Mapping Science (CRMS) at The University of Georgia Geography Department has worked cooperatively with state and federal resource management agencies for over twenty years to develop digital data in support of decision making for the preservation of natural and cultural resources of the southeastern United States. Originally created from manually interpreted large-scale color infrared (CIR) aerial photographs using geospatial tools such as geographic information systems (GIS), softcopy photogrammetry, Global Positioning System (GPS) field surveys and GIS modeling procedures, there is a desire to develop efficient methods for vegetation data updating, maintenance of current databases and capture of expert knowledge