Robust material identification in hyperspectral data via multiresolution wavelet techniques

Reviews the characteristics of hyperspectral imaging sensors and describes several important data exploitation applications in remote sensing. The authors then focus on a particular signal processing application, material identification, and propose a novel algorithm based on multiresolution wavelet techniques. Finally, they demonstrate the multiresolution material identification algorithm on data collected with a all-band hyperspectral sensor