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

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

doi:10.1109/WHISPERS.2013.8080640

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

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

Bioproducts and Biosystems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2013 5th Workshop on Hyperspectral Image and Signal Processing
Subtitle of host publication	Evolution in Remote Sensing, WHISPERS 2013
Publisher	IEEE Computer Society
ISBN (Electronic)	9781509011193
DOIs	https://doi.org/10.1109/WHISPERS.2013.8080640
State	Published - Jun 28 2013
Event	5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013 - Gainesville, United States Duration: Jun 26 2013 → Jun 28 2013

Publication series

Name	Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Volume	2013-June
ISSN (Print)	2158-6276

Other

Other	5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013
Country/Territory	United States
City	Gainesville
Period	6/26/13 → 6/28/13

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.

Keywords

Band selection
Blueberry detection
Hyperspectral imagery
Kullback-Leibler divergence

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10.1109/WHISPERS.2013.8080640

Cite this

Yang, C., Lee, W. S., Gader, P., & Li, H. (2013). Hyperspectral band selection using Kullback-Leibler divergence for blueberry fruit detection. In 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013 [8080640] (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing; Vol. 2013-June). IEEE Computer Society. https://doi.org/10.1109/WHISPERS.2013.8080640

Hyperspectral band selection using Kullback-Leibler divergence for blueberry fruit detection. / Yang, Ce; Lee, Won Suk; Gader, Paul; Li, Han.

2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013. IEEE Computer Society, 2013. 8080640 (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing; Vol. 2013-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yang, C, Lee, WS, Gader, P & Li, H 2013, Hyperspectral band selection using Kullback-Leibler divergence for blueberry fruit detection. in 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013., 8080640, Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, vol. 2013-June, IEEE Computer Society, 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013, Gainesville, United States, 6/26/13. https://doi.org/10.1109/WHISPERS.2013.8080640

Yang C, Lee WS, Gader P, Li H. Hyperspectral band selection using Kullback-Leibler divergence for blueberry fruit detection. In 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013. IEEE Computer Society. 2013. 8080640. (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing). https://doi.org/10.1109/WHISPERS.2013.8080640

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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.",

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

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Keywords

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