AUTOMATIC ENDMEMBER EXTRACTION FROM HYPERSPECTRAL DATA FOR MINERAL EXPLORATION

摘要

Linear unmixing is a commonly used technique for the analysis of imaging spectrometer data. This procedure requires the use of 'endmember' spectra which represent pure target species. One of the methods under investigation at Canada Centre for Remote Sensing for the automatic extraction of endmembers from the image cube, is called the 'Iterative Error Analysis', (IEA) method. This procedure is described, and the results of its application to a data set acquired over Nevada are presented.