The selection of inherent channels of hyperspectral data with volume method

Yanjun Gong; Jiaji Wu; Zhensen Wu; Xichang Wang; Dongcao Song; Wenying Yu

doi:10.1117/12.569857

8 February 2005 The selection of inherent channels of hyperspectral data with volume method

Yanjun Gong, Jiaji Wu, Zhensen Wu, Xichang Wang, Dongcao Song, Wenying Yu

Proceedings Volume 5637, Electronic Imaging and Multimedia Technology IV; (2005) https://doi.org/10.1117/12.569857
Event: Photonics Asia, 2004, Beijing, China

Abstract

We analyze the inherent channels of hyperspectral data with convex geometry analysis method. In this paper, a method-Volume Method, which selects the inherent channels of hyperspectral data, is presented. The concept of convexity geometry can be used to great advantage in the analysis of hyperspectral data. Convex simplex and inherent dimensionality concept is discussed on base of convex geometry. A set of 252-band hyperspectral data is applied to testify the Volume Method. The endmember proportions are calculated in the inherent dimensional space whose channels are selected by the Volume Method, compared with Constrained Least Squares Method in 252-space.

Citation Download Citation

Yanjun Gong, Jiaji Wu, Zhensen Wu, Xichang Wang, Dongcao Song, and Wenying Yu "The selection of inherent channels of hyperspectral data with volume method", Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); https://doi.org/10.1117/12.569857

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