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Tree Species Classification Based on 3D Bark Texture Analysis

Abstract : TerrestrialLaserScanning(TLS)techniqueistodaywidelyusedingroundplotstoacquire3Dpointcloudsfromwhichforestin-ventoryattributesarecalculated.Inthecaseofmixedplantingswherethe3Dpointcloudscontaindatafromseveraldifferenttreespecies,itisimportanttobeabletoautomaticallyrecognizethetreespeciesinordertoanalyzethedataofeachofthespeciesseparately.AlthoughautomatictreespeciesrecognitionfromTLSdataisanimportantproblem,ithasreceivedverylittleattentionfromthescientificcommunity.InthispaperweproposeamethodforclassifyingfivedifferenttreespeciesusingTLSdata.Ourmethodisbasedontheanalysisofthe3Dgeometrictextureofthebarkinordertocomputeroughnessmeasuresandshapecharacteris-ticsthatarefedasinputtoaRandomForestclassifiertoclassifythetreespecies.Themethodhasbeenevaluatedonatestsetcomposedof265samples(53samplesofeachofthe5species)andtheresultsobtainedareveryencouraging.
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https://hal.archives-ouvertes.fr/hal-01116701
Contributor : Alice Ahlem Othmani Connect in order to contact the contributor
Submitted on : Saturday, February 14, 2015 - 10:55:54 AM
Last modification on : Friday, August 5, 2022 - 2:54:00 PM
Long-term archiving on: : Thursday, May 28, 2015 - 3:01:20 PM

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Ahlem Othmani, Alexandre Piboule, Oscar Dalmau, Nicolas Lomenie, Said Mokrani, et al.. Tree Species Classification Based on 3D Bark Texture Analysis. 6th Pacific-Rim Symposium on Image and Video Technology (PSIVT 2013), Oct 2013, Guanajuato, Mexico. pp.279 - 289, ⟨10.1007/978-3-642-53842-1_24⟩. ⟨hal-01116701⟩

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