面向高光谱成像的物理导向谱模型
机器学习
2026-04-09 v2 人工智能
摘要
我们提出PhISM（Physics-Informed Spectral Modeling），一种基于物理的深度学习架构，能够在无监督情况下学习并以连续基函数对高光谱观测数据进行建模。PhISM在多个分类和回归基准测试中超越了先前方法，仅需有限的标记数据，同时通过可解释的潜在表示提供了额外的洞见。
引用
@article{arxiv.2508.21618,
title = {Physics-Informed Spectral Modeling for Hyperspectral Imaging},
author = {Zuzanna Gawrysiak and Krzysztof Krawiec},
journal= {arXiv preprint arXiv:2508.21618},
year = {2026}
}
备注
Copyright 2026 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works