Spectral-Spatial Methods for Hyperspectral Image Classification. Review

S. M. Borzov, O. I. Potaturkin

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Various methods of spectral-spatial classification of hyperspectral data are reviewed. Papers devoted to the most popular ways of using spatial information for increasing the accuracy of classification maps are considered. It is shown that the best results are obtained by using preprocessing of “raw” data before the procedures of pixel-wise spectral classification. Disadvantages, limits, and possible directions for developing existing methods are investigated and analyzed.

Original languageEnglish
Pages (from-to)582-599
Number of pages18
JournalOptoelectronics, Instrumentation and Data Processing
Volume54
Issue number6
DOIs
Publication statusPublished - 1 Nov 2018
Externally publishedYes

Keywords

  • hyperspectral images
  • remote sensing
  • spectral and spatial features
  • surface type classification
  • ATTRIBUTE PROFILES
  • SEGMENTATION
  • SVMS

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