Laser & Optoelectronics Progress, Volume. 58, Issue 2, 0210021(2021)
Hyperspectral Fast Clustering Algorithm Based on Binary Tree Anchor Points
Figures & Tables(8)
Fig. 3. Clustering map of each algorithm on Indian Pines dataset. (a) Ground map; (b) K-means; (c) FCM; (d) FCM_S1; (e) SC; (f) FHC-BTA_K; (g) FHC-BTA_R; (h) FHC-BTA
Fig. 4. Clustering map of each algorithm on Salinas dataset. (a) Ground map; (b) K-means; (c) FCM; (d) FCM_S1; (e) FHC-BTA_K; (f) FHC-BTA_R; (g) FHC-BTA
Fig. 5. Test results under Indian Pines dataset. (a) Different numbers of anchor points; (b) different numbers of nearest neighbors
Fig. 6. Test results under Salinas dataset. (a) Different numbers of anchor points; (b) different numbers of nearest neighbors
Table 1. Comparison of all algorithms on Indian Pines dataset
View tableTable 1. Comparison of all algorithms on Indian Pines dataset
Parameter K-means FCM FCM_S1 SC FHC-BTA_K FHC-BTA _R FHC-BTA AA/% 36.36 36.79 34.34 32.81 38.41 35.46 39.14 OA/% 34.89 35.54 36.17 34.10 38.82 35.70 37.31 Kappa 0.2767 0.288 0.2914 0.2824 0.3117 0.2868 0.3039 Time/s 3.87 2.35 4.00 7.86 3.30 0.61 1.10
Table 2. Comparison of all algorithms on Salinas dataset
View tableTable 2. Comparison of all algorithms on Salinas dataset
Parameter K-means FCM FCM_S1 FHC-BTA _K FHC-BTA _R FHC-BTA AA/% 65.53 65.90 66.37 66.10 64.22 66.47 OA/% 66.66 63.90 67.05 66.60 67.62 68.60 Kappa 0.6284 0.6006 0.6326 0.6273 0.6405 0.6511 Time/s 23.71 12.44 20.96 61.62 7.51 11.33
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Yuxiong Xu, Xiaojun Yang, Yongda Cai, Xiaoyan Du, Xin Zhang. Hyperspectral Fast Clustering Algorithm Based on Binary Tree Anchor Points[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0210021
Paper Information
Category: Image Processing
Received: Jun. 19, 2020
Accepted: Jul. 20, 2020
Published Online: Jan. 11, 2021
The Author Email: Yang Xiaojun (yxj029@163.com)
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