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To get the result if satellite image classification in precisely the image fusion method is widely used. The satellite images at different spectral and spatial resolutions with the guide of image handling strategies can improve the idea of data. For the most part image fusion is important to expel the spatial data from two images of different spatial, spectral and worldly images of a comparable zone. A task of image examination, for instance, image order on fused images gives better results in contrast with one of a kind data. In this work versatile unsupervised vector zone (VUVZ) method have been used for image fusion. The resultant images have been classified using the supervised classification with Intensive Pragmatic Blossoms (IPB) rule for information extraction and comparison between them regarding their accuracy. In This work describes a case study of micro seepage signals detection in the land, using multi …