Endmember Extraction for Hyperspectral Images Using Watershed and Normalized Cuts
نویسندگان
چکیده
Endmember extraction integrated with spatial information has been concerned on some research recently. In this paper we studies an improved endmember extraction method with spatial preprocessing module which use watershed with normalized cuts to avoid oversegmentation and produce accurate results from spectral mixture analysis. The spatial-spectral endmember extraction method which used the advantages of image segmentation generates the preliminary results and provides important knowledge for future research. * Corresponding author. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXVIII-4/W19, 2011 ISPRS Hannover 2011 Workshop, 14-17 June 2011, Hannover, Germany
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تاریخ انتشار 2011