Paper
8 February 2005 The study of the proportion image of hyperspectral image
Author Affiliations +
Abstract
Hyperspectral image can be analyzed by Convex Geometry Analysis(CGA) method. CGA method can unmix endmembers from hyperspectral image. The endmember proportions of mixed pixels can be calculated in inherent dimensional space, and a proportion image, which is called inherent proportion image, is obtained. The endmember proportions of mixed pixels can be calculated in n-space by the Constrained Least Squares, and a proportion image, which is called CLS proportion image, is obtained. In this paper, the inherent proportion image and CLS proportion image of a 30-band remote sensing image are obtained. The two proportion images are similar. The targets that are smaller than earth surface pixel can be identified by the inherent proportion image.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanjun Gong, Jiaji Wu, Zhensen Wu, Xichang Wang, Wenying Yu, and Dongcao Song "The study of the proportion image of hyperspectral image", Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); https://doi.org/10.1117/12.569856
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KEYWORDS
Hyperspectral imaging

Remote sensing

Image analysis

Reflectivity

Spectral models

Data modeling

Independent component analysis

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