Title :
The Mathematical Model of the Endmembers in Hyperspectral Data
Author :
Bi, Dongmei ; Zhao, Lijun ; Gong, Yanjun
Author_Institution :
Sch. of Sci., Chang Chun Univ., Changchun, China
Abstract :
Hyperspectral images analysis play important role in optical spectrum analysis field. The unmixing of the endmembers is very important to hyperspectral images analysis. We propose relationship between endmembers and their mixed pixel in matrix equation. The mathematical model of the endmembers is derived on the basis of convex geometry. Image endmembers can be derived from hyperspectral data set on the basis of the mathematical model, which is called the convex model of endmembers. The mathematical model is tested by a hyperspectral image. The endmembers can be derived from hyperspectral data set by the convex model of endmembers.
Keywords :
geometry; image resolution; matrix algebra; convex geometry; convex model; hyperspectral data; hyperspectral images analysis; image endmembers; mathematical model; matrix equation; mixed pixel; optical spectrum analysis; Data analysis; Geometry; Hyperspectral imaging; Hyperspectral sensors; Image analysis; Mathematical model; Optical imaging; Reflectivity; Remote sensing; Spectroscopy; convex geometry; mixed pixel; remote sensing; spectral unmixing;
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
DOI :
10.1109/ESIAT.2009.412
