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Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
05/03/2021 |
Data da última atualização: |
05/03/2021 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
BARMPOUTIS, P.; STATHAKI, T.; LLOYD; MOURA, M. S. B. de. |
Afiliação: |
Panagiotis Barmpoutis; Tania Stathaki; Jonathan Lloyd; MAGNA SOELMA BESERRA DE MOURA, CPATSA. |
Título: |
Tropical tree species 3D modelling and classification based on LiDAR technology. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
In: VOULODIMOS, A.; DOULAMIS, A. (Ed.). Recent advances in 3D imaging, modeling, and reconstruction. Pensilvânia: IGI Global, 2020. |
Páginas: |
cap. 1, p. 1-22. |
DOI: |
0.4018/978-1-5225-5294-9.ch001 |
Idioma: |
Inglês |
Conteúdo: |
Over the last decade or so, laser scanning technology has become an increasingly popular and important tool for forestry inventory, enabling accurate capture of 3D information in a fast and environmentally friendly manner. To this end, the authors propose here a system for tropical tree species classification based on 3D scans of LiDAR sensing technology. In order to exploit the interrelated patterns of trees, skeleton representations of tree point clouds are extracted, and their structures are divided into overlapping equal-sized 3D segments. Subsequently, they represent them as third-order sparse structure tensors setting the value of skeleton coordinates equal to one. Based on the higher-order tensor decomposition of each sparse segment, they 1) estimate the mode-n singular values extracting intra-correlations of tree branches and 2) model tropical trees as linear dynamical systems extracting appearance information and dynamics. The proposed methodology was evaluated in tropical tree species and specifically in a dataset consisting of 26 point clouds of common Caatinga dry-forest trees. |
Palavras-Chave: |
Floresta seca; Modelagem; Tecnologia LiDAR. |
Thesagro: |
Caatinga; Floresta; Floresta Tropical; Inventário Florestal. |
Thesaurus Nal: |
Dry forests; Forestry. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02001naa a2200289 a 4500 001 2130505 005 2021-03-05 008 2020 bl uuuu u00u1 u #d 024 7 $a0.4018/978-1-5225-5294-9.ch001$2DOI 100 1 $aBARMPOUTIS, P. 245 $aTropical tree species 3D modelling and classification based on LiDAR technology.$h[electronic resource] 260 $c2020 300 $acap. 1, p. 1-22. 520 $aOver the last decade or so, laser scanning technology has become an increasingly popular and important tool for forestry inventory, enabling accurate capture of 3D information in a fast and environmentally friendly manner. To this end, the authors propose here a system for tropical tree species classification based on 3D scans of LiDAR sensing technology. In order to exploit the interrelated patterns of trees, skeleton representations of tree point clouds are extracted, and their structures are divided into overlapping equal-sized 3D segments. Subsequently, they represent them as third-order sparse structure tensors setting the value of skeleton coordinates equal to one. Based on the higher-order tensor decomposition of each sparse segment, they 1) estimate the mode-n singular values extracting intra-correlations of tree branches and 2) model tropical trees as linear dynamical systems extracting appearance information and dynamics. The proposed methodology was evaluated in tropical tree species and specifically in a dataset consisting of 26 point clouds of common Caatinga dry-forest trees. 650 $aDry forests 650 $aForestry 650 $aCaatinga 650 $aFloresta 650 $aFloresta Tropical 650 $aInventário Florestal 653 $aFloresta seca 653 $aModelagem 653 $aTecnologia LiDAR 700 1 $aSTATHAKI, T. 700 1 $aLLOYD 700 1 $aMOURA, M. S. B. de 773 $tIn: VOULODIMOS, A.; DOULAMIS, A. (Ed.). Recent advances in 3D imaging, modeling, and reconstruction. Pensilvânia: IGI Global, 2020.
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1. |  | HERLING, V. R.; SILVA, J. R. da; GODOY, R.; PRIMAVESI, A. C. P. de A.; CERQUEIRA LUZ, P. H de; MELIS, M. H. Van; CARRER, C. R. O.; GOMIDE, C. A.; LIMA, C. G. Estudo de alguns parâmetros agronômicos de cultivares de aveia (Avena spp.). In: REUNIÃO DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 35., 1998, Botucatu. Anais... Botucatu: SBZ, 1998. p. 524-526.Tipo: Artigo em Anais de Congresso |
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