Band selection of hyperspectral images for detecting blueberry fruit with different growth stages

Ce Yang, Won Suk Lee, Paul Gader

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

Abstract

Hyperspectral imagery deals with large volumes of data due to hundreds of spectral bands used in the images. Although hyperspectral images with higher spectral resolution usually carry more information, the processing of the images requires a significant amount of memory and is usually very slow. In addition, hyperspectral images contain considerable amount of redundant information, which does not help or even hinder the algorithm in making the correct decision. Band selection is an approach to both reduce the dimensionality of hyperspectral images and save calculation time for further applications, such as detection of blueberry fruit with different maturity stages. Hyperspectral images of blueberry fruit were taken in a commercial blueberry field. Mature fruit, intermediate fruit, young fruit and background were the four classes to be studied. A supervised band selection method was proposed using Kullback-Leibler divergence (KLD). Wider bands were made by combining 20 hyperspectral bands so that the selected bands could be used in a blueberry yield mapping system using a lower-cost multispectral camera. Based on the analysis, six combined bands were selected: 543.1-572.6 nm, 627.4-658.8 nm, 663.6-695.2 nm, 725.4-757.4 nm, 773.5-805.6 nm and 838-870.5 nm. The test result showed that the proposed band selection method worked well for the task of blueberry growth stages detection.

Original languageEnglish (US)
Title of host publicationAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2013, ASABE 2013
PublisherAmerican Society of Agricultural and Biological Engineers
Pages1099-1106
Number of pages8
ISBN (Print)9781627486651
StatePublished - Jan 1 2013
Externally publishedYes
EventAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2013 - Kansas City, MO, United States
Duration: Jul 21 2013Jul 24 2013

Publication series

NameAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2013, ASABE 2013
Volume2

Other

OtherAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2013
CountryUnited States
CityKansas City, MO
Period7/21/137/24/13

Keywords

  • Band selection
  • Blueberry
  • Kullback-Leibler divergence
  • Precision agriculture
  • Yield mapping

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