INFRARED, Volume. 44, Issue 7, 46(2023)
Super Resolution Reconstruction for FY-4 Satellite ImagesBased on Deep Learning
[18] [18] Wang X, Yu K, Wu S. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks \[C\]. Munich: Computer Vision-ECCV 2018 Workshops, 2018.
[19] [19] Lai W S, Huang J B, Ahuja N, et al. Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution \[C\]. Honolulu: 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017.
[20] [20] Chollet F. Xception: Deep Learning with Depthwise Separable Convolutions \[C\]. Honolulu: 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017.
[21] [21] Wang P, Chen P, Yuan Y, et al. Understanding Convolution for Semantic Segmentation \[C\]. Stateline: 2018 IEEE Winter Conference on Applications of Computer Vision, 2018.
[22] [22] Huang B, He B, Wu L, et al. Deep Residual Dual-Attention Network for Super-Resolution Reconstruction of Remote Sensing Images \[J\]. Remote Sensing, 2021, 13(14): 2784.
Get Citation
Copy Citation Text
XIE Meng, YANG Chun-lei, GU Ming-jian, HU Yong. Super Resolution Reconstruction for FY-4 Satellite ImagesBased on Deep Learning[J]. INFRARED, 2023, 44(7): 46
Category:
Received: Mar. 24, 2023
Accepted: --
Published Online: Jan. 15, 2024
The Author Email: