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Hyperspectral Image: Fundamentals and Advances

  • V. SowmyaEmail author
  • K. P. Soman
  • M. Hassaballah
Chapter
First Online:
Part of the Studies in Computational Intelligence book series (SCI, volume 804)

Abstract

Hyperspectral remote sensing has received considerable interest in recent years for a variety of industrial applications including urban mapping, precision agriculture, environmental monitoring, and military surveillance as well as computer vision applications. It can capture hyperspectral image (HSI) with a lager number of land-cover information. With the increasing industrial demand in using HSI, there is a must for more efficient and effective methods and data analysis techniques that can deal with the vast data volume of hyperspectral imagery. The main goal of this chapter is to provide the overview of fundamentals and advances in hyperspectral images. The hyperspectral image enhancement, denoising and restoration, classical classification techniques and the most recently popular classification algorithm are discussed with more details. Besides, the standard hyperspectral datasets used for the research purposes are covered in this chapter.

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Authors and Affiliations

  1. 1.Amrita School of EngineeringCenter for Computational Engineering and Networking (CEN), Amrita Vishwa VidyapeethamCoimbatoreIndia
  2. 2.Faculty of Computers and Information, Computer Science DepartmentSouth Valley UniversityLuxorEgypt

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