Hyperspectral band selection using Kullback-Leibler divergence for blueberry fruit detection

Ce Yang, Won Suk Lee, Paul Gader, Han Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper explores the feasibility of using hyperspectral imagery for blueberry fruit detection. Some bands of hyperspectral images offer redundant information. A Kullback-Leibler divergence (KLD) based band selection method is used to select the most useful bands. Forty hyperspectral images of blueberry plants were taken from the field with 1-millimeter special resolution. The proposed KLD based band selection method took advantage of the high spatial resolution of the blueberry hyperspectral images. The performance of the selected bands was compared with an unsupervised band selection strategy. The selected bands may be used for developing a blueberry detection system with a multi-spectral camera, which is of much lower cost than a hyperspectral camera.

Original languageEnglish (US)
Title of host publication2013 5th Workshop on Hyperspectral Image and Signal Processing
Subtitle of host publicationEvolution in Remote Sensing, WHISPERS 2013
PublisherIEEE Computer Society
ISBN (Electronic)9781509011193
DOIs
StatePublished - Jun 28 2013
Event5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013 - Gainesville, United States
Duration: Jun 26 2013Jun 28 2013

Publication series

NameWorkshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Volume2013-June
ISSN (Print)2158-6276

Other

Other5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013
CountryUnited States
CityGainesville
Period6/26/136/28/13

Keywords

  • Band selection
  • Blueberry detection
  • Hyperspectral imagery
  • Kullback-Leibler divergence

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