FTDN: Multispectral and Hyperspectral Image Fusion With Diverse Temporal Difference Spans-Reference-Cited by-同舟云学术

FTDN: Multispectral and Hyperspectral Image Fusion With Diverse Temporal Difference Spans

Published:2023 Issue: Volume:61 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chen Xu¹,Meng Xiangchao¹^ORCID,Liu Qiang¹,Jiang Huiping²,Yang Gang³^ORCID,Sun Weiwei³^ORCID,Shao Feng¹^ORCID

Affiliation:

1. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China

2. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

3. Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Postdoctoral Research Foundation of China

Ningbo Natural Science Foundation

2025 Science and Technology Major Project of Ningbo City

Zhejiang Province “Pioneering Soldier” and “Leading Goose” research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10184199.pdf?arnumber=10184199

Reference42 articles.

1. Joint Nonlocal, Spectral, and Similarity Low-Rank Priors for Hyperspectral–Multispectral Image Fusion

2. Generalized Linear Spectral Mixing Model for Spatial–Temporal–Spectral Fusion

3. A survey on hyperspectral image restoration: from the view of low-rank tensor approximation

4. Integrated fusion framework based on semicoupled sparse tensor factorization for spatio-temporal–spectral fusion of remote sensing images

5. Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges

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