Zeheng Li, Fuxiang Wang and Xiurui Geng, Beihang University, P.R.China

Algorithms based on minimum volume constraint or sum of squared distances constraint is widely used in Hyperspectral image unmixing. However, there are few works about performing comparison between these two algorithms. In this paper, comparison analysis between two algorithms is presented to evaluate the performance of two constraints under different situations. Comparison is implemented from the following three aspects: flatness of simplex, initialization effects and robustness to noise. The analysis can provide a guideline on which constraint should be adopted under certain specific tasks.

Hyperspectral unmixing, volume constraint, distance constraint, relative capacity