Spectral unmixing based on aminimum volume simplicial enclosure model∗
نویسندگان
چکیده
This work describes the minimum volume enclosing simplex problem, which is known to be a multimodal Global Optimization problem. The problem has been used as a basis to estimate so-called endmember and abundance data in unmixing spectral data of hyperspectral sensors. This estimation problem is a big challenge. We explore the possibility of a new estimation algorithm using the minimum volume enclosing simplex problem. We investigate its behaviour numerically on designed instances comparing its outcomes with a maximum volume enclosed simplex approach which is used frequently in spectral unmixing.
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