Hyperspectral Target Identification Using Physics-Guided Neural Networks with Explainability and Feature Attribution

Author:

Klein Natalie1,Carr Adra1,Hampel-Arias Zigfried1,Zastrow Allison1,Ziemann Amanda1,Flynn Eric1

Affiliation:

1. Los Alamos National Laboratory,Los Alamos,NM,87545

Publisher

IEEE

Cited by 4 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. Local Background Estimation for Improved Gas Plume Identification in Hyperspectral Images;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. A likelihood ratio test for shrinkage covariance estimators;Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXX;2024-06-07

3. 2D Spectral Representations and Autoencoders for Hyperspectral Imagery Classification and ExplanabilitY;2024 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI);2024-03-17

4. Physics-guided neural networks for hyperspectral target identification;Applications of Machine Learning 2023;2023-10-04

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