Zhou Zhang, Xu Sun, Rong Liu, Lianru Gao. Band Selection of Hyperspectral Images Based on Fuzzy C-Means Clustering and Firefly Algorithm[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1210015
- Laser & Optoelectronics Progress
- Vol. 60, Issue 12, 1210015 (2023)
Fig. 1. FCM-FA band selection process
Fig. 2. Classification accuracy of different methods on Indian Pines dataset. (a) OA of the SVM classifier; (b) OA of the KNN classifier; (c) Kappa coefficient of the SVM classifier; (d) Kappa coefficient of the KNN classifier
Fig. 3. Classification accuracy of different methods on PaviaU dataset. (a) OA of SVM classifier; (b) OA of KNN classifier; (c) Kappa coefficient of SVM classifier; (d) Kappa coefficient of KNN classifier
Fig. 4. Classification accuracy of different methods in 28 selected bands on Indian Pines dataset using different proportions of training samples. (a) OA of SVM classifier; (b) OA of KNN classifier; (c) Kappa coefficient of SVM classifier; (d) Kappa coefficient of KNN classifier
Fig. 5. Classification accuracy of different methods in 18 selected bands on PaviaU dataset using different proportions of training samples. (a) OA of SVM classifier; (b) OA of KNN classifier; (c) Kappa coefficient of SVM classifier; (d) Kappa coefficient of KNN classifier
Fig. 6. Spectral characteristic curves of land type on Indian Pines dataset. (a)-(p) Characteristic curves of land type 1-16, respectively
Fig. 7. Spectral characteristic curves of land type on PaviaU dataset. (a)~(i) Characteristic curves of land type 1-9, respectively
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Table 1. Calculation time of different methods
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Table 2. Calculation time of FCM-FA for different fireflies
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Table 3. Effect of the setting of number of fireflies on results of FCM-FA band selection (band quality is indirectly evaluated through classification accuracy)
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