2Introduction to Hyperspectral Imaging

DOI: 10.1201/9781003329312-2

This chapter will discuss:

  • Hyperspectral data and its characteristics,
    • How it is different from multispectral data,
    • Spatial vs spectral
    • Advantages and disadvantages
  • Terminology
  • Quantum mechanical explanation of absorption
  • What are the challenges (high dimensionality etc.)?
  • Sensors and platforms
  • General image analysis workflow
    • Goal
    • Visual interpretation and exploration
    • Image processing pipeline

2.1 Hyperspectral Data

2.1.1 Definition and Characteristics

Hyperspectral data refers to the remotely sensed data collected over electromagnetic spectrum – usually invisible and infrared range from 400 nm to 2500 nm – in contiguous bands of ~10 nm width or less. Hyperspectral imaging ...

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