A novel technique to detect a suboptimal threshold of neighborhood rough sets for hyperspectral band selection
Author:
Funder
University Grants Commission
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-019-03909-4.pdf
Reference27 articles.
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3. Feng l, Tan AH, Lim MH, Jiang SW (2016) Band selection of hyperspectral images using probabilistic memetic algorithm. Soft Comput 20(12):4685–4693
4. Gu Y, Wang C, Wang S, Zhang Y (2011) Kernel-based regularized-angle spectral matching for target detection in hyperspectral imagery. Pattern Recognit Lett 32(2):114–119
5. Hu Q, Yu D, Liu J, Wu C (2008) Neighborhood rough set based heterogeneous feature subset selection. Inf Sci 178(18):3577–3594
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