Continuous Remote Sensing Image Super-Resolution Based on Context Interaction in Implicit Function Space-Reference-Cited by-同舟云学术

Continuous Remote Sensing Image Super-Resolution Based on Context Interaction in Implicit Function Space

Published:2023 Issue: Volume:61 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chen Keyan¹^ORCID,Li Wenyuan¹^ORCID,Lei Sen²^ORCID,Chen Jianqi¹^ORCID,Jiang Xiaolong³,Zou Zhengxia⁴^ORCID,Shi Zhenwei¹^ORCID

Affiliation:

1. Image Processing Center, School of Astronautics, the Beijing Key Laboratory of Digital Media, and the State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China

2. AVIC Chengdu Aircraft Industrial (Group) Company Ltd, Chengdu, China

3. Xiaohongshu Inc, Beijing, China

4. Shanghai Artificial Intelligence Laboratory, Shanghai, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10114420.pdf?arnumber=10114420

Reference78 articles.

1. Simultaneous Super-Resolution and Segmentation for Remote Sensing Images

2. Enhancing multi-scale implicit learning in image super-resolution with integrated positional encoding;liu;arXiv 2112 05756,2021

3. Contrastive Learning for Fine-Grained Ship Classification in Remote Sensing Images

4. Residual scale attention network for arbitrary scale image super-resolution

5. Building Extraction from Remote Sensing Images with Sparse Token Transformers

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SR-RDFAN-LOG: Arbitrary-scale logging image super-resolution reconstruction based on residual dense feature aggregation;Geoenergy Science and Engineering;2024-09

2. A Lightweight CNN Based on Axial Depthwise Convolution and Hybrid Attention for Remote Sensing Image Dehazing;Remote Sensing;2024-07-31

3. Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. SAM-CFFNet: SAM-Based Cross-Feature Fusion Network for Intelligent Identification of Landslides;Remote Sensing;2024-06-26

5. Spectral Library-Based Spectral Super-Resolution Under Incomplete Spectral Coverage Conditions;IEEE Transactions on Geoscience and Remote Sensing;2024