A Novel Spatial Fidelity With Learnable Nonlinear Mapping for Panchromatic Sharpening-Reference-Cited by-同舟云学术

A Novel Spatial Fidelity With Learnable Nonlinear Mapping for Panchromatic Sharpening

Published:2023 Issue: Volume:61 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wen Rui¹,Deng Liang-Jian¹^ORCID,Wu Zhong-Cheng¹^ORCID,Wu Xiao¹,Vivone Gemine²^ORCID

Affiliation:

1. School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Sichuan, Chengdu, China

2. Institute of Methodologies for Environmental Analysis, National Research Council—Institute of Methodologies for Environmental Analysis (CNR-IMAA), Tito, Italy

Funder

NSFC

Natural Science Foundation of Sichuan Province

Key Projects of Applied Basic Research in Sichuan Province

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10097537.pdf?arnumber=10097537

Reference71 articles.

1. A Benchmarking Protocol for Pansharpening: Dataset, Preprocessing, and Quality Assessment

2. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

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

4. A New Variational Approach Based on Proximal Deep Injection and Gradient Intensity Similarity for Spatio-Spectral Image Fusion

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