Convex geometry analysis method of hyperspectral data

Yanjun Gong; XiChang Wang; Hongxing Qi; BingXi Yu

doi:10.1117/12.467739

16 June 2003 Convex geometry analysis method of hyperspectral data

Yanjun Gong, XiChang Wang, Hongxing Qi, BingXi Yu

Proceedings Volume 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications; (2003) https://doi.org/10.1117/12.467739
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

We present matrix expression of convex geometry analysis method of hyperspectral data by linear mixing model and establish a mathematic model of endmembers. A 30-band remote sensing image is applied to testify the model. The results of analysis reveal that the method can analyze mixed pixel questions. The targets that are smaller than earth surface pixel can be identified by applying the method.

Citation Download Citation

Yanjun Gong, XiChang Wang, Hongxing Qi, and BingXi Yu "Convex geometry analysis method of hyperspectral data", Proc. SPIE 4897, Multispectral and Hyperspectral Remote Sensing Instruments and Applications, (16 June 2003); https://doi.org/10.1117/12.467739

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