Physics-Informed Spectral Modeling for Hyperspectral Imaging

doi:10.1109/LGRS.2026.3678651

2026-03-30

PRE

Zuzanna Gawrysiak

Krzysztof Krawiec

DOI：10.1109/LGRS.2026.3678651

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摘要

En 中文

我们提出了一种物理信息光谱建模器（PhISM），这是一种物理信息深度学习（DL）架构，能够无监督学习以显式解耦高光谱观测数据，并使用连续基函数对其进行建模。PhISM在多个分类和回归基准测试中优于先前的方法，需要有限的标记数据，并且由于可解释的潜在表示而提供了额外的见解。

Keyword:

Explainable artificial Intelligence (AI)

hyperspectral imaging

representation learning

self-supervised learning

期刊

IEEE Geoscience and Remote Sensing Letters

IF:

4.4

论文数:

715

被引数:

机构

Poznan University of Technology

学者数:

4.4K

论文数: 4.1K

被引数: 3

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