Local-aware coupled network for hyperspectral image super-resolution-Reference-Cited by-同舟云学术

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Local-aware coupled network for hyperspectral image super-resolution

Published:2023-07-07 Issue:1 Volume:60 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Zhang Meilin¹,Zheng Guizhou¹^ORCID,Jiang Zhiben²,Zhu Qiqi¹³^ORCID,Wang Linlin⁴,Guan Qingfeng¹³

Affiliation:

1. School of Geography and Information Engineering, China University of Geosciences, Wuhan, Hubei Province, China

2. Geographic Information Department, Shaoxing Geotechnical Investigation & Surveying Insititute, Shaoxing, Zhejiang Province, China

3. National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, Hubei Province, China

4. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei Province, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2233725

Reference57 articles.

1. Improving Component Substitution Pansharpening Through Multivariate Regression of MS $+$Pan Data

2. Bayesian sparse representation for hyperspectral image super resolution

3. CNN-Based Super-Resolution of Hyperspectral Images

4. Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability

5. Hydrothermal formation of Clay-Carbonate alteration assemblages in the Nili Fossae region of Mars

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1. Low-rank and sparse NMF based on compression and correlation sensing for hyperspectral unmixing;Infrared Physics & Technology;2024-09

2. LFEMAP-Net: Low-Level Feature Enhancement and Multiscale Attention Pyramid Aggregation Network for Building Extraction From High-Resolution Remote Sensing Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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