| This research work presents an experimental study on unmixing of hyperspectral images at different spatial resolutions. The study looks at how the assumptions made in the unmixing procedure affects the results of the inversion. Different algorithms such as Constrained Positive Matrix Factorization (cPMF), Sequential Maximum Angle Convex Cone (SMACC), and Maximum distance (MaxD) are studied and compared. We also study the problem of estimating the number of endmembers using the rank and the positive-rank of a matrix. The rank is estimated by the Scree test and the positive rank is estimated with a search procedure. Hyperspectral Imagery from the Guanica Dry Forest at one and four meters and Enrique Reef Area in Parguera at one, two, and eight meters, were used in the experiments. The data was collected using the AISA sensor during the 2007 Puerto Rico Hyperspectral Mission. Field work in Guanica area and previous class maps of Enrique Reef area were used in validation of the results. |
