Spectroscopy and Spectral Analysis, Volume. 41, Issue 10, 3194(2021)
Hyperspectral Band Selection Based on Improved Particle Swarm Optimization Algorithm
Figures & Tables(8)
Fig. 3. Convergence graphs of objective functions of four algorithms
(a): Indian pines dataset; (b): Salinas dataset
Fig. 4. Classification of Indian Pines
(a): Truth Ground; (b): SPSO; (c): SAPSO; (d): IEPSO; (e): MPSO
Fig. 5. Classification of Salinas
(a): Truth Ground; (b): SPSO; (c): SAPSO; (d): IEPSO; (e): MPSO
Table 1. Mean and variance of four algorithms
View tableView in ArticleTable 1. Mean and variance of four algorithms
算法 均值 方差 Indian Pines SPSO 13.705 1 4.237 8×10-3 SAPSO 13.804 7 4.595 9×10-4 IEPSO 13.814 5 1.950 3×10-4 MPSO 13.840 9 1.477 8×10-4 Salinas SPSO 14.127 3 2.663 1×10-6 SAPSO 14.129 1 4.573 6×10-6 IEPSO 14.129 9 2.804 8×10-18 MPSO 14.130 0 0
Table 2. Selected bands of four algorithms
View tableView in ArticleTable 2. Selected bands of four algorithms
# 算法 波段组合 Indian Pines SPSO 114 122 163 SAPSO 116 120 163 IEPSO 9 121 163 MPSO 9 122 163 Salinas SPSO 79 121 132 SAPSO 98 139 162 IEPSO 98 123 132 MPSO 96 139 162
Table 3. Performance index of data classification
View tableView in ArticleTable 3. Performance index of data classification
# 算法 OIF指数 Kappa
系数/%分类
精度/%Indian
PinesSPSO 227.166 7 93.53 97.737 4 SAPSO 238.302 7 92.35 97.333 3 IEPSO 281.815 2 93.42 97.697 0 MPSO 283.404 4 94.70 98.141 4 Salinas SPSO 800.444 4 98.57 99.000 1 SAPSO 383.771 1 98.64 99.053 0 IEPSO 363.817 3 98.63 99.042 4 MPSO 376.273 8 98.69 99.084 8
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Liu ZHANG, Nan YE, Ling-ling MA, Qi WANG, Xue-ying LÜ, Jia-bao ZHANG. Hyperspectral Band Selection Based on Improved Particle Swarm Optimization Algorithm[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3194
Paper Information
Category: Research Articles
Received: Oct. 6, 2020
Accepted: --
Published Online: Oct. 29, 2021
The Author Email: ZHANG Liu (zhangliu@jlu.edu.cn)
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