Adaptive wavelets for image representation and classification

In this paper we propose a feature-based wavelet representation for image classification and visualization. The work is primarily motivated by the need to classify quickly and efficiently 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.