RGTGAN: Reference-Based Gradient-Assisted Texture-Enhancement GAN for Remote Sensing Super-Resolution-Reference-Cited by-同舟云学术

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RGTGAN: Reference-Based Gradient-Assisted Texture-Enhancement GAN for Remote Sensing Super-Resolution

Published:2024 Issue: Volume:62 Page:1-21
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Tu Ziming¹^ORCID,Yang Xiubin¹^ORCID,He Xi¹^ORCID,Yan Jiapu²^ORCID,Xu Tingting³

Affiliation:

1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China

2. State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China

3. School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China

Funder

National Natural Science Foundation of China

Key Research and Development Program of Jilin Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10415231.pdf?arnumber=10415231

Reference98 articles.

1. A hybrid optical–wireless network for decimetre-level terrestrial positioning

2. Cooling the cities – A review of reflective and green roof mitigation technologies to fight heat island and improve comfort in urban environments

3. The last frontiers of wilderness: Tracking loss of intact forest landscapes from 2000 to 2013

4. Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework

5. A deep translation (GAN) based change detection network for optical and SAR remote sensing images

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1. Shift-photography-assisted image super-resolution for optical zooming system based on Alvarez lenses;Optics Communications;2024-11

2. PIRN: Phase Invariant Reconstruction Network for infrared image super-resolution;Neurocomputing;2024-09

3. Optical Aberration Correction Empowering Micro-Nano Satellite for Adaptive-Sharpening and Wide-Parallax Imaging;2024

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