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Hyperspectral image (HSI) has gained significant attention in the field of remote sensing and image analysis. Unlike traditional multispectral imaging, which captures images in a few broad spectral bands, hyperspectral imaging captures data across a wide range of the electromagnetic spectrum, often hundreds of contiguous spectral bands. This rich spectral information allows for more detailed and precise analysis of the materials and objects within an image (Li et al., Rem Sens 11:694 2019 [1]).

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Introduction

  • 章节

  • 发表日期：

    2025年

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  • Yao Ding,
  • Zhili Zhang,
  • Haojie Hu,
  • Renxiang Guan,
  • Jie Feng,
  • Zhiyong Lv

摘要

Hyperspectral image (HSI) has gained significant attention in the field of remote sensing and image analysis. Unlike traditional multispectral imaging, which captures images in a few broad spectral bands, hyperspectral imaging captures data across a wide range of the electromagnetic spectrum, often hundreds of contiguous spectral bands. This rich spectral information allows for more detailed and precise analysis of the materials and objects within an image (Li et al., Rem Sens 11:694 2019 [1]).