Preprocessing of hyperspectral and multispectral images

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  • José Manuel Amigo
  • Carolina Santos

Hyperspectral and multispectral images do not consist exclusively on relevant information about presence and absence of chemical compounds. Depending on the technique chosen for image acquisition, equipment, experimental/environmental conditions, among others, a variety of unwanted information such as physical phenomena or random/systematic noise will be also present in the data. These variations can be of chemical or physical nature and will generate basically two types of distortion, geometric and spectral distortions. This chapter shows the main distortions related to hyperspectral and multispectral images along with their sources of variation and how to handle them.

Original languageEnglish
Title of host publicationHyperspectral Imaging
EditorsJosé Manuel Amigo
Number of pages17
Publication date2020
ISBN (Print)978-0-444-63977-6
Publication statusPublished - 2020
SeriesData Handling in Science and Technology

    Research areas

  • HSI, MSI, NIR, Preprocessing, Raman, Spatial aberrations, Spectral noise, Visible

ID: 230896842