Articles | Volume XXXVIII-4/W19
https://doi.org/10.5194/isprsarchives-XXXVIII-4-W19-365-2011
© Author(s) 2011. This work is distributed under the Creative Commons Attribution 3.0 License.
10 Sep 2012
ENDMEMBER EXTRACTION FOR HYPERSPECTRAL IMAGES USING WATERSHED AND NORMALIZED CUTS
Keywords: remote sensing images segmentation; watershed transform; normalized cut; endmember extraction; spatial-spectral; hyperspectral data
Abstract. 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 over- segmentation 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.