ADAPTIVE WAVELETS FOR IMAGE REPRESENTATION AND CLASSIFICATION

In this paper we propose a feature-based wavelet representa- tion for image classification and visualization. The work is primarily motivated by the need to classify quickly and ef- ficiently large multispectral satellite images, and possibly to perform the classification task directly on compressed data. We propose a multiresolution approach based on a special class of adaptive wavelets which allows the extraction of salient features without loosing accuracy.