Benchmarking of wildland fire colour segmentation algorithms-Reference-Cited by-同舟云学术

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Benchmarking of wildland fire colour segmentation algorithms

Published:2015-12 Issue:12 Volume:9 Page:1064-1072
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Toulouse Tom¹²,Rossi Lucile¹,Akhloufi Moulay³^ORCID,Celik Turgay⁴,Maldague Xavier²

Affiliation:

1. UMR CNRS 6134 SPEUniversity of Corsica20250CorteFrance

2. Department of Electrical and Computer EngineeringLaval UniversityQuebecQCG1V0A6Canada

3. Department of Electronics EngineeringUniversidad Tecnica Federico Santa MariaValparasoChile

4. School of Computer Science, University of the WitwatersrandJohannesburgSouth Africa

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2014.0935

Reference33 articles.

1. ‘European Forest Fire Information System’ http://www.forest.jrc.ec.europa.eu/effis/accessed April 2015

2. Physical modeling of surface fire under nonparallel wind and slope conditions;Balbi J.H.;Combus. Sci. Technol.,2010

3. Instrumentation of wildland fire: characterisation of a fire spreading through a Mediterranean shrub;Santoni P.A.;Fire Safety J.,2006

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