Quantifying the efficacy and retrieval boundaries of spectral unmixing algorithms using various endmember reduction techniques in the EMIT Science Data System

Ochoa, Francisco

Quantifying the efficacy and retrieval boundaries of spectral unmixing algorithms using various endmember reduction techniques in the EMIT Science Data System

Francisco Ochoa¹, Philip G Brodrick², Greg S Okin¹, Eyal Ben-dor³, Robert O Green², David R Thompson² and Thoralf Meyer⁴, (1)University of California Los Angeles, Department of Geography, Los Angeles, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)University of Tel Aviv, Tel Aviv, Israel, (4)University of Texas at Austin, Department of Geography and the Environment, Austin, TX, United States