The impact of band selection on hyperspectral point target detection algorithms

S. R. Rotman, M. Vortman, C. Biton

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

7 Scopus citations

Abstract

In this paper, we explore the influence of band selection and dimensionality reduction of hyperspectral data on three point target detection algorithms. We wish to reduce the computational burden and to maximize the algorithms' performance by taking into consideration high spectral correlation. In order to measure the discrimination capability of target detection algorithms, we implemented a metric to quantitatively evaluate our algorithm for a particular combination of target signature, spectral cube, and bands chosen. Band selection was done in several ways; we evaluate our results both with exhaustive search and a "sub-optimal" selection algorithm.

Original languageEnglish
Title of host publication2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4761-4763
Number of pages3
ISBN (Print)9781424495658, 9781424495665
DOIs
StatePublished - 1 Jan 2010
Event2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 - Honolulu, HI, United States
Duration: 25 Jul 201030 Jul 2010

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
Country/TerritoryUnited States
CityHonolulu, HI
Period25/07/1030/07/10

Keywords

  • Band selection
  • Hyperspectral imaging (HSI)
  • Point target detection

ASJC Scopus subject areas

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

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