Edge detection on hyperspectral imagery via manifold techniques

Yuan Zhou, Bo Wu, Deren Li, Rongxing Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

9 Citations (Scopus)

Abstract

For hyperspectral imagery, the term "spectral edge" has not been clearly defined because of the complexity of the high dimensional properties in spectral space. In this paper, a new definition of the spectral edge is presented based on a data-driven mathematic approach Manifold Learning. It considers both the spectral features in spectral space and the discontinuity of image function in image space. Experimental analysis using EO-1 hyperspectral imagery shows that the spectral edge based method has desired performance to describe the edge contours in the hyperspectral imagery.
Original languageEnglish
Title of host publicationWHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing
Subtitle of host publicationEvolution in Remote Sensing
DOIs
Publication statusPublished - 21 Dec 2009
Externally publishedYes
EventWHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - Grenoble, France
Duration: 26 Aug 200928 Aug 2009

Conference

ConferenceWHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing
Country/TerritoryFrance
CityGrenoble
Period26/08/0928/08/09

Keywords

  • Edge detection
  • Hyperspectral imagery
  • LTSA
  • Manifold learning
  • Spectral edge

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Signal Processing

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