Fig. 1. Sample examples of training set. (a) 2× network training set samples; (b) 4× network training set samples

Fig. 2. Matching and extraction module

Fig. 3. Image feature visualization. (a) LR images; (b) reference images

Fig. 4. Cross-scale module structure

Fig. 5. Structure of 2× network

Fig. 6. Basic module structure. (a) Encoder structure; (b) decoder structure

Fig. 7. Calculation quantity and parameter quantity of each method

Fig. 8. Spectral curve comparison. (a) Original 2000 m band statistical results; (b) statistical results after super-resolution; (c) histograms of 4, 5, 6 bands of original 2000 m data; (d) statistical results after super-resolution

Fig. 9. 2× super-resolution reconstruction results of each algorithm

Fig. 10. 4× super-resolution reconstruction results of each algorithm