IN VIVO FISH DIET DISCRIMINATION USING SELECTED HYPERSPECTRAL IMAGE CLASSIFICATION METHODS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F18%3A43899358" target="_blank" >RIV/60076658:12520/18:43899358 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8747074" target="_blank" >https://ieeexplore.ieee.org/document/8747074</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
IN VIVO FISH DIET DISCRIMINATION USING SELECTED HYPERSPECTRAL IMAGE CLASSIFICATION METHODS
Original language description
The main aim of this study was to evaluate the performance of different supervised classification methods to discriminate live fish based on their diet received during cultivation using hyperspectral imagery system. 160 rainbow trout were fed either a commercial based diet or completely plant-based diet. Hyperspectral images of the live fish acquired in the spectral region of 394-1090 nm. Spectra were extracted from the region of interest and pre-processed using Savitzky-Golay smoothing algorithm to remove noise. Afterward, three classifiers including support vector machine, random forest and k-nearest neighbors were used. According to the criteria of correct classification rate and kappa coefficient, the support vector machine with linear kernel was achieved the best performance for classifying live fish due to their diet.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2018 9TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS)
ISBN
978-1-72811-581-8
ISSN
2158-6268
e-ISSN
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Number of pages
5
Pages from-to
5
Publisher name
IEEE
Place of publication
NEW YORK
Event location
Amsterdam
Event date
Sep 23, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000482659100036