Xunqiang Gong, Xinglei Liu, Tieding Lu, Dan Liu. Accuracy Assessment of Object-Oriented Classification Based on Regular Verification Points[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241102
- Laser & Optoelectronics Progress
- Vol. 57, Issue 24, 241102 (2020)
Fig. 1. Diagrams of regular verification points and random verification points. (a) Regular verification points; (b) random verification points
Fig. 2. Fusion image of GF-2
Fig. 3. Creation of regular verification points. (a) N=50; (b) N=100; (c) N=150; (d) N=200; (e) N=250; (f) N=300
Fig. 4. Comparison of classification results of three methods. (a) Overall classification accuracy; (b) Kappa coefficient
|
Table 1. SVM classification results under different numbers of verification points
|
Table 2. CART decision tree classification results under different numbers of verification points
|
Table 3. KNN classification results under different numbers of verification points
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20