Advances in hyperspectral image and signal processing: a comprehensive overview of the state of the art

Pedram Ghamisi, Naoto Yokoya, Jun Li, Wenzhi Liao, Sicong Liu, Javier Plaza, Behnood Rasti, Antonio Plaza

Research output: Contribution to journalArticle

147 Citations (Scopus)
2 Downloads (Pure)

Abstract

Recent advances in airborne and spaceborne hyperspectral imaging technology have provided end users with rich spectral, spatial, and temporal information. They have made a plethora of applications feasible for the analysis of large areas of the Earth?s surface. However, a significant number of factors-such as the high dimensions and size of the hyperspectral data, the lack of training samples, mixed pixels, light-scattering mechanisms in the acquisition process, and different atmospheric and geometric distortions-make such data inherently nonlinear and complex, which poses major challenges for existing methodologies to effectively process and analyze the data sets. Hence, rigorous and innovative methodologies are required for hyperspectral image (HSI) and signal processing and have become a center of attention for researchers worldwide.
Original languageEnglish
Pages (from-to)37-78
Number of pages42
JournalIEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
Volume5
Issue number4
DOIs
Publication statusPublished - 31 Dec 2017

Keywords

  • hyperspectral Imaging
  • signal processing
  • feature extraction
  • image restoration
  • spatial resolution
  • algorithm design and analysis
  • data preprocessing
  • data analysis
  • geophysical image processing
  • remote sensing

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