Fig. 1. The example of ISPRS 2D Semantic Labelling Challenge datasets (http://www2.isprs.org/commissions/comm3/wg4/semantic-labeling.html)
Fig. 2. Two study sites with multi-temporal KOMPSAT-3A CIR (Color InfraRed) imagery; site 1 acquired at times (a) T1 , (b) T2 and site 2 acquired at times (c)T1, (d) T2
Fig. 3. The framework of transfer learning and change detection network
Fig. 4. Comparison of (a) 2D and (b) 3D (three-dimensional) convolution operation (Song, 2019)
Fig. 5. The fully convolutional network for multi-spectral image classification
Fig. 6. Change detection maps obtained from the proposed method and other methods for site 1 (a) PCA with SVM, (b) fully connected LSTM, (c) CD network with 2d kernel, (d) CD network with 3d kernel, and (e) ground truth (white color represents changed areas and black color represents unchanged areas)
Fig. 7. Change detection maps obtained from the proposed method and other methods for site 2 (a) PCA with SVM, (b) fully connected LSTM, (c) CD network with 2d kernel, (d) CD network with 3d kernel, and (e) ground truth (white color represents changed areas and black color represents unchanged areas)
Fig. 8. The enlarged images of the change detection results (a) site 1-A, (b) site 1-B, (c) site 1-C, and (d) site 2-A (white color represents changed areas and black color represents unchanged areas)
Table 1. Accuracy comparison of change detection results on site 1 and site 2
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