Unmixing based Landsat ETM+ and ASTER image fusion for hybrid multispectral image analysis

The mine of Bouaouane-Djbel (Hill) Hallouf which is exploited for the lead and zinc ores is among several types of mines in the Medjerda river watershed. We propose a multispectra inter-images fusion using a simplified version of multisensor multiresolution technique (MMT) for mine tailing cartography refinement. We use Landsat MS/Pan fused image and ASTER SWIR image acquired in the same period to conserve mineral state. Classification of the resulting Hybrid multispectral image based on constrained and unconstrained linear spectral unmixing is performing using end member library spectra. Unmixing results coincide with ASTER TIR interpretation as well as laboratory analysis. Moreover, the given results show that Hybrid multispectral image is more precise for certain mineral detection than ASTER fused image.