Evaluating hyperspectral imaging change detection methods

Stanley Rotman, Hanoch Shalev

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this article, we compare three change detection methods for hyperspectral imagery and establish their sensitivity to registration mismatch. We further present metrics that enable this comparison and seek to rank the methods.

Original languageEnglish
Title of host publication2017 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publicationInternational Cooperation for Global Awareness, IGARSS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1946-1949
Number of pages4
ISBN (Electronic)9781509049516
DOIs
StatePublished - 1 Dec 2017
Event37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States
Duration: 23 Jul 201728 Jul 2017

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2017-July

Conference

Conference37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Country/TerritoryUnited States
CityFort Worth
Period23/07/1728/07/17

Keywords

  • Change Detection
  • Chronochrome
  • Covariance Equalization
  • Hyperspectral Imaging

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences (all)

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