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Updated: Jun 25, 2025

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对高光谱图像分类进行歧视性光谱空间特征提取:一篇评论

Ningyang Li1, Zhaohui Wang1, Faouzi Alaya Cheikh2

  • 1Faculty of Computer Science and Technology, Hainan University, Haikou 570228, China.

Sensors (Basel, Switzerland)
|May 25, 2024
PubMed
概括

深度学习方法通过改善光谱空间特征歧视来增强高光谱图像 (HSI) 分类. 本综述系统地总结了特征提取和优化技术,以克服传统机器学习的局限性.

关键词:
不同的光谱空间特征.功能提取 特性提取功能优化优化功能优化超光谱图像分类的分类方法

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IR Frequency Region: Fingerprint Region01:03

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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