Fig. 1. [in Chinese]

Fig. 2. Spectral imaging based on spatial compressive sampling and spectral KL transform

Fig. 3. SNR of each band of spectral image

Fig. 4. PSNR of each band of reconstructed spectral image for 2D-CRPG algorithm with different Rspa . (a) K =10; (b) K =150

Fig. 5. Two-dimensional image reconstruction effect of 2D-CRPG algorithm with different Rspa under condition of K= 150

Fig. 6. PSNR of each band of reconstructed spectral image for 2D-CRPG algorithm with different K values. (a) Rspa =40%; (b) Rspa =90%

Fig. 7. PSNR of each band of reconstructed spectral image for different algorithms. (a) Rspa =40%; (b) Rspa =50%; (c) Rspa =60%; (d) Rspa =70%; (e) Rspa =80%; (f) Rspa =90%

Fig. 8. False color images of reconstructed spectral images for different algorithms with Rspa =40% (bands 250, 222, 10). (a) Original image; (b) BCS, aAPSNR =28.86 dB; (c) CSC, aAPSNR =27.08 dB; (d) 2D-OMP, aAPSNR =26.41 dB; (e) Kro-OMP, aAPSNR =19.05 dB; (f) 2D-CRPG, aAPSNR =33.14 dB

Fig. 9. False color images of reconstructed spectral images for different algorithms with Rspa =90% (bands 250, 222, 10). (a) Original image; (b) BCS, aAPSNR =34.54 dB; (c) CSC, aAPSNR =32.95 dB; (d) 2D-OMP, aAPSNR =35.41 dB; (e) Kro-OMP, aAPSNR =23.10 dB; (f) 2D-CRPG, aAPSNR =42.81 dB

Fig. 10. APSNR of different algorithms with different Rspa