Survey on a Fast Hyperspectral Image Classification Method Combined with Spatial Information

Qian Wang

doi:10.4028/www.scientific.net/AMM.299.168

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 299Survey on a Fast Hyperspectral Image...

Survey on a Fast Hyperspectral Image Classification Method Combined with Spatial Information

Abstract:

A fast classification method of hyperspectral image is presented to resolve these problems caused by large processing data and noise influence. First, space information is used to extract Spatial Region Feature Spectral. Next, the non-linear method of feature extraction is used to extract the feature of SRFS. The simulation results show that the method can significantly improve the classification results of classifiers and reduce computing time.

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Periodical:

Applied Mechanics and Materials (Volume 299)

Pages:

168-171

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.299.168

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Online since:

February 2013

Authors:

Qian Wang

Keywords:

Classification, Hyperspectral Image, Non-Linear Feature Extraction, SRFS

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