Perceptually-motivated adversarial training for deep ensemble denoising of hyperspectral images

Author:

Aetesam Hazique1ORCID,Maji Suman Kumar1

Affiliation:

1. Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

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 image restoration using noise gradient and dual priors under mixed noise conditions;CAAI Transactions on Intelligence Technology;2024-08-19

2. GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2024-03

3. CompoHyDen: Hyperspectral Image Restoration via Nonconvex Componentwise Minimization;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. Lp-norm-based successive denoising approach for hyperspectral images;Remote Sensing Letters;2023-04-03

5. Image Enhancement Under Gaussian Impulse Noise for Satellite and Medical Applications;Advances in Computational Intelligence and Robotics;2022-10-21

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