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| Registros recuperados : 115 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
15/03/2021 |
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Data da última atualização: |
09/08/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
BARMPOUTIS, P.; STATHAKI, T.; LLOYD, J.; MOURA, M. S. B. de; CARVALHO, H. F. de S. |
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Afiliação: |
PANAGIOTIS BARMPOUTIS; TANIA STATHAKI; JONATHAN LLOYD; MAGNA SOELMA BESERRA DE MOURA, CPATSA; HERICA FERNANDA DE SOUSA CARVALHO. |
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Título: |
LiDAR technology and linear dynamical systems for classification of tropical tree species. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON WOOD SCIENCE AND TECHNOLOGY, 29., 2018, Zagreb. Implementation of wood science in woodworking sector: proceedings. Zagreb: University of Zagreb, 2018. |
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Páginas: |
p. 55-62. |
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Idioma: |
Português |
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Conteúdo: |
To protect the value and potential of wood and forests, forest commissions, environmental agencies and scientists are focused on innovative solutions for environmental monitoring and management. To this end, a framework for tree classification that can contribute in the monitoring of wood resources, timber management and environmental protection is proposed in this paper. More specifically, we use LiDAR sensing technology and extract the skeleton of trees using the Fast Marching method. Then, we model them using linear dynamical systems taking advantage of the fact that each one of the tree species has been grown in a specific way and exhibits specific properties in the growing direction of it. This is achieved by dividing the tree skeletons into overlapping segments in the direction of z axes and creating higher-order patches consisting of trees? skeleton branching coordinates of each segment. Finally, due to the fact that the structure of tropical trees is complex, classification is performed introducing descriptors that take into account the combination of dynamic, appearance and noise parameters. For the evaluation of the proposed system, a dataset consisting of fifteen point clouds of common Caatinga tropical trees was created. Experimental results presented in this paper show the great application of the proposed methodology |
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Palavras-Chave: |
Classificação de espécies; Monitoramento dos recursos madeireiros; Padronizar reconhecimento; Processamento de sinal multicanal; Sensor remoto LiDAR; Sistemas dinâmicos lineares. |
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Thesagro: |
Floresta; Floresta Tropical; Sensoriamento Remoto. |
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Thesaurus NAL: |
Remote sensing. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/221862/1/LiDAR-technology-and-linear-dynamical-systems-for-classification-of-tropical-tree-species-2018.pdf
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Marc: |
LEADER 02404nam a2200289 a 4500
001 2130677
005 2023-08-09
008 2018 bl uuuu u00u1 u #d
100 1 $aBARMPOUTIS, P.
245 $aLiDAR technology and linear dynamical systems for classification of tropical tree species.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE ON WOOD SCIENCE AND TECHNOLOGY, 29., 2018, Zagreb. Implementation of wood science in woodworking sector: proceedings. Zagreb: University of Zagreb$c2018
300 $ap. 55-62.
520 $aTo protect the value and potential of wood and forests, forest commissions, environmental agencies and scientists are focused on innovative solutions for environmental monitoring and management. To this end, a framework for tree classification that can contribute in the monitoring of wood resources, timber management and environmental protection is proposed in this paper. More specifically, we use LiDAR sensing technology and extract the skeleton of trees using the Fast Marching method. Then, we model them using linear dynamical systems taking advantage of the fact that each one of the tree species has been grown in a specific way and exhibits specific properties in the growing direction of it. This is achieved by dividing the tree skeletons into overlapping segments in the direction of z axes and creating higher-order patches consisting of trees? skeleton branching coordinates of each segment. Finally, due to the fact that the structure of tropical trees is complex, classification is performed introducing descriptors that take into account the combination of dynamic, appearance and noise parameters. For the evaluation of the proposed system, a dataset consisting of fifteen point clouds of common Caatinga tropical trees was created. Experimental results presented in this paper show the great application of the proposed methodology
650 $aRemote sensing
650 $aFloresta
650 $aFloresta Tropical
650 $aSensoriamento Remoto
653 $aClassificação de espécies
653 $aMonitoramento dos recursos madeireiros
653 $aPadronizar reconhecimento
653 $aProcessamento de sinal multicanal
653 $aSensor remoto LiDAR
653 $aSistemas dinâmicos lineares
700 1 $aSTATHAKI, T.
700 1 $aLLOYD, J.
700 1 $aMOURA, M. S. B. de
700 1 $aCARVALHO, H. F. de S.
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Embrapa Semiárido (CPATSA) |
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