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The ISODATA clustering algorithm is regarded as a common method in the field of analyzing remote sensing images. It is very effective to generate a preliminary overview of images. These kinds of clustering methods are currently done in personal computers. However, with the development of remote sensing technology, the spatial resolutions are increasing rapidly and the sizes of the data are becoming...
This paper applies the multi-feature clustering analysis for SPOT5 color remote sensing images change detection based on image subtraction method and solves the problem of misjudge polygons. Subtraction chart is constructed by computing gray difference between pixels with a quite low threshold; Then, multi-feature-clustering-analysis is utilized to subtraction chart to delete misjudge polygons; Lastly,...
Information extraction in remote sensing images has become an important area of research. Now daypsilas remote sensing images are used extensively for finding patterns of interest. The remote sensing data is processed automatically by computer and/or manually interpreted by humans, and are used in agriculture, geology, oceanography, meteorology, environment etc. In this paper, different Remote Sensing...
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