Fig. 1. Spatial information in（a）the rectangular local window and（b）the irregular scale areas

Fig. 2. The flowchart of SIISA

Fig. 3. Multispectral images covering Rome, Italy,（a）RGB of multispectral image,（b）coarse image（S=8）

Fig. 4. Hyperspectral images covering University of Pavia, Italy,（a）RGB of hyperspectral image,（b）coarse image（S=8）

Fig. 5. Hyperspectral images covering Xiong'an New Area, China,（a）RGB of hyperspectral image,（b）coarse image（S=10）

Fig. 6. Mapping results,（a）reference image,（b）SSI,（c）PSSD,（d）OSI,（e）RWA,（f）SIISA

Fig. 7. Mapping results,（a）reference image,（b）SSI,（c）PSSD,（d）OSI,（e）RWA,（f）SIISA

Fig. 8. Mapping results,（a）reference image,（b）SSI,（c）PSSD,（d）OSI,（e）RWA,（f）SIISA

Fig. 9. Salient region,（a）reference image,（b）SSI,（c）PSSD,（d）OSI,（e）RWA, and（f）SIISA

Fig. 10. Values of（a）OA（%）and（b）Kappa obtained using the five different sub-pixel methods under different values of S

Fig. 11. OA（%）value of the SIISA in relation to weight parameter β in（a）experiments 2 and（b）3

Fig. 12. OA（%）value of the SIISA in relation to segmentation scale parameter V in（a）experiments 2 and（b）3