All in One: A Unified Network for Hyperspectral Image Fusion-Reference-Cited by-同舟云学术

All in One: A Unified Network for Hyperspectral Image Fusion

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Yaoting¹^ORCID,Cheng Xinwei¹^ORCID,Li Hui²,Luo Shenglian³,Yang Bin¹^ORCID

Affiliation:

1. College of Electrical and Information Engineering and the Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China

2. School of Environment, Beijing Normal University, Beijing, China

3. Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle, Nanchang Hangkong University, Nanchang, China

Funder

National Key Research and Development Program of China

Key Research and Development Program of Hunan Province, China

Natural Science Foundation of Hainan Province

Changsha Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10557664.pdf?arnumber=10557664

Reference63 articles.

1. A Spectral Grouping and Attention-Driven Residual Dense Network for Hyperspectral Image Super-Resolution

2. From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models With Spatial–Channel Augmentation for Hyperspectral Images

3. Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection

4. Hyperspectral Anomaly Detection Using Reconstruction Fusion of Quaternion Frequency Domain Analysis

5. UTRNet: An Unsupervised Time-Distance-Guided Convolutional Recurrent Network for Change Detection in Irregularly Collected Images