Hyper-Laplacian Prior for Remote Sensing Image Super-Resolution-Reference-Cited by-同舟云学术

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Hyper-Laplacian Prior for Remote Sensing Image Super-Resolution

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhao Kanghui¹^ORCID,Lu Tao¹^ORCID,Wang Jiaming¹,Zhang Yanduo¹^ORCID,Jiang Junjun²^ORCID,Xiong Zixiang³^ORCID

Affiliation:

1. Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China

2. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

3. Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA

Funder

National Natural Science Foundation of China

Central Government Guides Local Science and Technology Development Special Projects

National Natural Science Foundation of Hubei

Enterprise Technology Innovation Project

Wuhan Institute of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10613839.pdf?arnumber=10613839

Reference57 articles.

1. DGPF-RENet: A Low Data Dependence Network With Low Training Iterations for Hyperspectral Image Classification

2. Parameter-Free Attention Network for Spectral–Spatial Hyperspectral Image Classification

3. Estimating Soil Salinity Under Various Moisture Conditions: An Experimental Study

4. Instance-Aware Distillation for Efficient Object Detection in Remote Sensing Images

5. Building a Bridge of Bounding Box Regression Between Oriented and Horizontal Object Detection in Remote Sensing Images

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