Research Article

SACTNet: Spatial Attention Context Transformation Network for Cloud Removal

Table 3

Comparison of cloud removal effects on RICE1 and RICE2 images.

RICE1RICE2
PSNRSSIMRMSEPSNRSSIMRMSE

Cloud-GAN [23]27.6560.9354.12426.53850.87584.363
CGAN [25]26.5470.9035.32325.3840.8115.213
CycleGAN [26]25.880.8935.12123.910.7936.091
SpA-GAN [27]30.2320.9544.76528.3680.9065.857
RSCNet [28]28.1120.9513.21226.1680.8655.451
GCANet [29]29.5680.9613.58327.3220.9166.201
MLA-GAN [30]31.8580.9714.03131.1240.9384.391
Our results33.2510.9895.33532.8510.9586.338