出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Algorithms based on minimum volume constraint or sum of squared distances constraint iswidely used in Hyperspectral image unmixing. However, there are few works about performingcomparison between these two algorithms. In this paper, comparison analysis between twoalgorithms is presented to evaluate the performance of two constraints under differentsituations. Comparison is implemented from the following three aspects: flatness of simplex,initialization effects and robustness to noise. The analysis can provide a guideline on whichconstraint should be adopted under certain specific tasks.
