Research on the Band Selection Algorithm Based on Noise Evaluation of Hyperspectral Image
2013 ◽
Vol 718-720
◽
pp. 2142-2145
Keyword(s):
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.
2017 ◽
Vol 11
(2)
◽
pp. 026018
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2018 ◽
Vol 8
(5)
◽
pp. 29
2021 ◽
pp. 146134842110143
2014 ◽
Vol 52
(11)
◽
pp. 7111-7119
◽