5 February 2004 More results on AMM for endmember induction
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Abstract
We test a procedure for endmember extraction on a synthetic hyperspectral image. The procedure uses the Autoassociative Morphological Memories (AMM) as detectors of morphological independence conditions. To validate it we apply Convex Cone Analysis (CCA) to the same data. To generate the validation data, we synthesize the ground truth abundance images as the simulation of gaussian random fields and we use as ground truth endmembers some reflectance spectra obtained from the USGS repository.
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Manuel Grana, Josune Gallego, "More results on AMM for endmember induction", Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); doi: 10.1117/12.510930; https://doi.org/10.1117/12.510930
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