文章基本信息

标题：CLASSIFICATION OF SPECTROSCOPICAL IMAGERY BY COMBINING SPATIAL AND SPECTRAL INFORMATION:THE SSC METHOD
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作者：Tom HORNSTRA ; Hans-Gerd MAAS ; Steven DE JONG 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：2000
卷号：XXXIII Part B7(/1-4)
页码：550-558
出版社：Copernicus Publications
摘要：Classification of remotely sensed images is often based on assigning classes on a 'per-pixel' basis and therefore ignoring spatial information captured by the image. In this paper a method is proposed that combines spatial and spectral information in two steps. Spatial information is first extracted by segmentation: spectral homogeneous regions in the image are identified on the basis of similarity of the entire spectral shape from visible to shortwave infrared. These homogeneous areas are classified and next, this information is used to classify the remaining heterogeneous pixels. The method is applied and validated on DAIS images acquired over an area covered with natural vegetation and agricultural activities in southern France. Results indicate si gnificant improvements of classificatio n results compared to traditional per-pixel classifiers
关键词：Hyperspectral; Classification; Image processing; Segmentation