Research on the Band Selection Algorithm Based on Noise Evaluation of Hyperspectral Image

Bai He Wang; Shi Qi Huang; Yi Hong Li

doi:10.4028/www.scientific.net/AMR.718-720.2142

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 718-720Research on the Band Selection Algorithm Based on...

Research on the Band Selection Algorithm Based on Noise Evaluation of Hyperspectral Image

Abstract:

Along with the development of hyperspectral remote sensing technology, band selection algorithm of hyperspectral image has become the research focus of hyperspectral application. A band selection algorithm based on noise evaluation of hyperspectral image and named as LMLSD is proposed in this paper. All the bands of hyperspectral image are ranked according to the SNR calculated based on local mean and local standard deviation of every band. Simulation results show that the performance of LMLSD is better than classical band selection algorithms of ABS and SDAA. The algorithm of LMLSD has validity and feasibility in practical application.

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Periodical:

Advanced Materials Research (Volumes 718-720)

Pages:

2142-2145

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.718-720.2142

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Online since:

July 2013

Authors:

Bai He Wang, Shi Qi Huang, Yi Hong Li

Keywords:

Band Selection Algorithm, Hyperspectral Image, Local Standard Deviation, Noise Evaluation

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