Multiscale Residual Dense Network for the Super-Resolution of Remote Sensing Images-Reference-Cited by-同舟云学术

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Multiscale Residual Dense Network for the Super-Resolution of Remote Sensing Images

Published:2024 Issue: Volume:62 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Kong Dezhi¹^ORCID,Gu Lingjia¹^ORCID,Li Xiaofeng²^ORCID,Gao Fang³^ORCID

Affiliation:

1. College of Electronic Science and Engineering, Jilin University, Changchun, China

2. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China

3. Chang Guang Satellite Technology Company Ltd., Changchun, China

Funder

Technological Research and Development Projects of Jilin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10453218.pdf?arnumber=10453218

Reference47 articles.

1. Super-resolution in PET imaging

2. The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery

3. Low-Resolution Face Recognition via Coupled Locality Preserving Mappings

4. Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification

5. A survey on object detection in optical remote sensing images

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