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Content Based Multispectral Image Retrieval Using Independent Component Analysis

This paper presents a novel method for multispectral image retrieval. The proposed method starts with calculation of two features and then it uses Independent Component Analysis (ICA) to extract independent components of the feature values. Later on, feature values of each image are exhibited by a linear combination of these independent components. In the proposed approach, two effective weight vectors are calculated for each image in the system. These two weight vectors are used efficiently in radiance and texture based retrieval process. The proposed method was performed and tested on a set of LANDSAT multispectral images from variant sceneries.