期刊名称：International Journal of Reviews in Computing
印刷版ISSN：2076-3328
电子版ISSN：2076-3336
出版年度：2010
卷号：3
出版社：Little Lion Scientific Research and Developement
摘要：Information processing and decision support system using data mining techniques is in advance drive for huge availability of remote sensing image (RSI). RSI describe inbuilt properties of objects by recording their supernatural reflectance in the electro-magnetic spectral (ems) region. Information on such objects could be gathered by their color properties or their spectral values in each ems range of pixels Present paper explains a method of such information extraction using cubical distance methods and the results are discussed. This method is one among the simpler in its approach and considers grouping of equal distance of similar from a specified point in the image or selected pixel based on its attributes. The color distance and the occurrence pixel distance are played vital role to determine the similar distance objects in the RSI.
