Remote Sensing Super-Resolution Reconstruction Based on Improved Deformable Convolution-Reference-Cited by-同舟云学术

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Remote Sensing Super-Resolution Reconstruction Based on Improved Deformable Convolution

Published:2023-09-22 Issue: Volume: Page:100-104
ISSN:
Container-title:2023 International Conference on Artificial Intelligence Innovation (ICAII)
language:
Short-container-title:

Author:

Yao Fulin¹,Li Hongli²,Huang Xun³,Sun Kaiming²,Yi Zhiqi¹

Affiliation:

1. School of Computer Science Engineering, Wuhan Institute of Technolog,Wuhan,China

2. School of Computer Science and Engineering, Wuhan Institute of Technology,Wuhan,China

3. Wuhang Land Arranging Storage Centre, Wuhan Natural Resources and Planning Bureau,Wuhan,China

Funder

National Natural Science Foundation of China

111 project

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10497187/10497202/10497444.pdf?arnumber=10497444

Reference15 articles.

1. HRSiam: High-Resolution Siamese Network, Towards Space-Borne Satellite Video Tracking

2. RSNet: The Search for Remote Sensing Deep Neural Networks in Recognition Tasks

3. Unified Blind Method for Multi-Image Super-Resolution and Single/Multi-Image Blur Deconvolution

4. Deformable Convolutional Networks

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