A Progressive Implicit Neural Fusion Network for Multispectral Image Pansharpening-Reference-Cited by-同舟云学术

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A Progressive Implicit Neural Fusion Network for Multispectral Image Pansharpening

Published:2024 Issue: Volume:17 Page:14935-14948
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Feng Yao¹,Zhang Long¹,Zhang Yingwei¹,Guo Xinguo¹^ORCID,Xie Guangqi²^ORCID,Liu Chuang²^ORCID,Xiang Shao³^ORCID

Affiliation:

1. Shandong GEO-Surveying and Mapping Institute, Jinan, China

2. School of Computer Science, Hubei University of Technology, Wuhan, China

3. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Scientific Research Foundation for Doctoral Program of Hubei University of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10636312.pdf?arnumber=10636312

Reference58 articles.

1. FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification

2. Fusion of Dual Spatial Information for Hyperspectral Image Classification

3. Feature Consistency-Based Prototype Network for Open-Set Hyperspectral Image Classification

4. Multi-Layer Global Spectral-Spatial Attention Network for Wetland Hyperspectral Image Classification

5. A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods

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