Abstract
Endmember extraction is a process to identify the spectra of materials from the hyperspectral scene. This paper presents a framework for endmember extraction by exploiting the ideas that: the endmembers are the vertices of the simplex, and the calculation of simplex volume can be simplified by triangular factorization. Triangular factorization is a broad conception including many methods, so the proposed framework is a group of methods including different implementations. Experimental results on both synthetic and real hyperspectral data demonstrate that the proposed algorithm can obtain the results with better accuracy and much lower complexity, comparing to other state-of-the-art approaches.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.