文章基本信息

标题：SEGMENTATION AND CLASSIFICATION OF LANDSAT-TM IMAGES TO MONITOR THE SOIL USE
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作者：HERMESON NóBREGA BARROS DE OLIVEIRA ; OLGA REGINA PEREIRA BELLO ; KLAUS DE GEUS 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：1065-1072
出版社：Copernicus Publications
摘要：A hybrid unsupervised/supervised classification method is described and applied to Landsat TM images. This method differs from the conventional classification in the sense that the clustering algorithm is applied to a set of regions, obtained from the segmented image. The statistical parameters of these regions are used to classify each. After the previous step, some regions are selects to be training areas on a supervised classification step. A comparison is made between the pixel per pixel classification and the region classification
关键词：Classification; Segmentation