A New Feature Selection Method for Hyperspectral Image Classification Based on Simulated Annealing Genetic Algorithm and Choquet Fuzzy Integral

Table 1

Correlation matrix 𝑅 between 5 and 15.

Bands	5	6	7	8	9	10	11	12	13	14	15
5	1.0000	0.9793	0.9823	0.9813	0.9809	0.9800	0.9785	0.9769	0.9750	0.9710	0.9667
6	0.9793	1.0000	0.9889	0.9892	0.9886	0.9881	0.9869	0.9857	0.9835	0.9798	0.9755
7	0.9823	0.9889	1.0000	0.9920	0.9930	0.9926	0.9918	0.9911	0.9892	0.9856	0.9819
8	0.9813	0.9892	0.9920	1.0000	0.9938	0.9941	0.9935	0.9929	0.9911	0.9875	0.9836
9	0.9809	0.9886	0.9930	0.9938	1.0000	0.9950	0.9954	0.9949	0.9934	0.9897	0.9861
10	0.9800	0.9881	0.9926	0.9941	0.9950	1.0000	0.9959	0.9959	0.9944	0.9907	0.9872
11	0.9785	0.9869	0.9918	0.9935	0.9954	0.9959	1.0000	0.9966	0.9959	0.9926	0.9894
12	0.9769	0.9857	0.9911	0.9929	0.9949	0.9959	0.9966	1.0000	0.9968	0.9943	0.9915
13	0.9750	0.9835	0.9892	0.9911	0.9934	0.9944	0.9959	0.9968	1.0000	0.9965	0.9949
14	0.9710	0.9798	0.9856	0.9875	0.9897	0.9907	0.9926	0.9943	0.9965	1.0000	0.9977
15	0.9667	0.9755	0.9819	0.9836	0.9861	0.9872	0.9894	0.9915	0.9949	0.9977	1.0000