Learning Degradation-Aware Deep Prior for Hyperspectral Image Reconstruction-Reference-Cited by-同舟云学术

Learning Degradation-Aware Deep Prior for Hyperspectral Image Reconstruction

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:

Yang Jingxiang¹^ORCID,Lin Tian¹^ORCID,Liu Fang¹,Xiao Liang¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

Open Research Fund Program of State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing

Open Foundations of Jiangsu Province Engineering Research Center of Airborne Detecting and Intelligent Perceptive Technology

Jiangsu Geological Bureau Research Project

Research Project of University Natural Science Fund of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10323503.pdf?arnumber=10323503

Reference54 articles.

1. Medical hyperspectral imaging: a review

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

3. A review of the medical hyperspectral imaging systems and unmixing algorithms’ in biological tissues

4. Medical Hyperspectral Image Classification Based on End-to-End Fusion Deep Neural Network

5. Quality of high resolution synthesised images: Is there a simple criterion?;wald;Proc 3rd Conf Fusion Earth Data Merging Point Meas Raster Maps Remotely Sensed Images,2000

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hyperspectral Target Detection: Learning Faithful Background Representations via Orthogonal Subspace-Guided Variational Autoencoder;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Degradation Estimation Recurrent Neural Network With Local and Non-Local Priors for Compressive Spectral Imaging;IEEE Transactions on Geoscience and Remote Sensing;2024

3. A CNN-Transformer Embedded Unfolding Network for Hyperspectral Image Super-Resolution;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Learning Disentangled Priors for Hyperspectral Anomaly Detection: A Coupling Model-Driven and Data-Driven Paradigm;IEEE Transactions on Neural Networks and Learning Systems;2024

5. Dynamic Spectral Guided Spatial Sparse Transformer for Hyperspectral Image Reconstruction;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024