Structure-Texture Parallel Embedding for Remote Sensing Image Super-Resolution-Reference-Cited by-同舟云学术

Structure-Texture Parallel Embedding for Remote Sensing Image Super-Resolution

Author:

Lu Tao¹^ORCID,Zhao Kanghui¹^ORCID,Wu Yuntao¹,Wang Zhongyuan²^ORCID,Zhang Yanduo¹^ORCID

Affiliation:

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

2. School of Computer Science, Wuhan University, Wuhan, NERCMS, China

Funder

National Natural Science Foundation of China

Hubei Technology Innovation Project

Central Government Guides Local Science and Technology Development Special Projects

High value Intellectual Property Cultivation Project of Hubei Province

Enterprise Technology Innovation Project of Wuhan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

Reference21 articles.

3. Image super-resolution using very deep residual channel attention networks;zhang;Proc Eur Conf Comput Vis,2018

4. Multi-scale residual network for image super-resolution;li;Proc Eur Conf Comput Vis,2018

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