Acta Optica Sinica, Volume. 45, Issue 12, 1210001(2025)
Research on Thin Cloud Removal Based on Generative Adversarial Network with CBAM and Multi-Scale Attention
[4] Chen Y, Chen M L, He W et al. Thick cloud removal in multitemporal remote sensing images via low-rank regularized self-supervised network[J]. IEEE Transactions on Geoscience and Remote Sensing, 62, 5506613(2024).
[7] Jiang H, Lü N, Yao L. HOT-transform based method to remove haze or thin cloud for Landsat 8 OLI satellite data[J]. Journal of Remote Sensing, 20, 620-631(2016).
[12] Yu X Y, Pan J, Wang M et al. A curvature-driven cloud removal method for remote sensing images[J]. Geo-spatial Information Science, 27, 1326-1347(2024).
[13] Li W B, Li Y, Chen D et al. Thin cloud removal with residual symmetrical concatenation network[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 153, 137-150(2019).
[14] Zi Y, Xie F Y, Zhang N et al. Thin cloud removal for multispectral remote sensing images using convolutional neural networks combined with an imaging model[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 3811-3823(2021).
[19] Xu M, Deng F R, Jia S et al. Attention mechanism-based generative adversarial networks for cloud removal in Landsat images[J]. Remote Sensing of Environment, 271, 112902(2022).
[20] Zheng J H, Liu X Y, Wang X D. Single image cloud removal using U-Net and generative adversarial networks[J]. IEEE Transactions on Geoscience and Remote Sensing, 59, 6371-6385(2021).
[21] Wang Z, Ma J, Guo Y et al. Cloud removal in multitemporal remote sensing imagery combining U-Net and spatiotemporal generative networks[J]. National Remote Sensing Bulletin, 28, 2089-2100(2024).
[23] Zi Y, Xie F Y, Song X D et al. Thin cloud removal for remote sensing images using a physical-model-based CycleGAN with unpaired data[J]. IEEE Geoscience and Remote Sensing Letters, 19, 1004605(2021).
[24] Li J, Wu Z C, Hu Z W et al. Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 166, 373-389(2020).
[25] Tao L L, Wang Y Q. Reconstructing spectral information in cloud contaminated regions using object-oriented approach[J]. Transactions of the Chinese Society of Agricultural Engineering, 40, 216-223(2024).
[27] Hu H, Li J T, A X H et al. Method for cloud removal from optical remote-sensing image based on latent diffusion model[J]. Acta Optica Sinica, 44, 1228009(2024).
[30] Woo S, Park J, Lee J Y et al. CBAM: convolutional block attention module[C], 11211, 3-19(2018).
[34] Zheng Y, Zhan J H, He S F et al. Curricular contrastive regularization for physics-aware single image dehazing[C], 5785-5794(2023).
Get Citation
Copy Citation Text
Yang Wang, Guokun Chen, Xingwu Duan, Qingke Wen, Jiatian Li, Zhen Zhang. Research on Thin Cloud Removal Based on Generative Adversarial Network with CBAM and Multi-Scale Attention[J]. Acta Optica Sinica, 2025, 45(12): 1210001
Category: Image Processing
Received: Feb. 5, 2025
Accepted: Apr. 24, 2025
Published Online: Jun. 23, 2025
The Author Email: Guokun Chen (chengk@radi.ac.cn)
CSTR:32393.14.AOS250568