Information processing and decision support system using image mining techniques is in advance drive with huge availability of remote sensing image (RSI). RSI describes inherent properties of objects by recording their natural reflectance in the electro-magnetic spectral (ems) region. Information on such objects could be gathered by their color properties or their spectral values in various ems range in the form of pixels. Present paper explains a method of such information extraction using cubical distance method and subsequent results. This method is one among the simpler in its approach and considers grouping of pixels on the basis of equal distance from a specified point in the image or selected pixel having definite attribute values (DN) in different spectral layers of the RSI. The color distance and the occurrence pixel distance play a vital role in determining similar objects as clusters aid in extracting features in the RSI domain.
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