PMDRnet: A Progressive Multiscale Deformable Residual Network for Multi-Image Super-Resolution of AMSR2 Arctic Sea Ice Images-Reference-Cited by-同舟云学术

PMDRnet: A Progressive Multiscale Deformable Residual Network for Multi-Image Super-Resolution of AMSR2 Arctic Sea Ice Images

Published:2022 Issue: Volume:60 Page:1-18
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Xiaomin¹^ORCID,Feng Tiantian¹^ORCID,Shen Xiaofan¹,Li Rongxing¹^ORCID

Affiliation:

1. Center for Spatial Information Science and Sustainable Development Applications, College of Surveying and Geo-Informatics, Tongji University, Shanghai, China

Funder

National Key Research and Development Program of China

National Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09714397.pdf?arnumber=9714397

Reference62 articles.

1. Deformable ConvNets V2: More Deformable, Better Results

2. Deformable Convolutional Networks

3. TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution

4. Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation

5. Deep Video Super-Resolution Using HR Optical Flow Estimation

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