Mapping Single Palm-Trees Species in Forest Environments with a Deep Convolutional Neural Network

Autor: Li J, Arruda MdSd, Lucas Prado Osco, Marcato Junior J, Arnildo Pott, Marques Ramos Ap, Sarah Narges Fatholahi, Wesley Nunes Gonçalves, Aoki C, Arce Lsd, Furuya Deg

Accurately mapping individual tree species in densely forested environments is crucial to forest inventory. When considering only RGB images, this is a challenging task for many automatic photogrammetry processes. The main reason for that is the spec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc8176baea83eb14bfb47791accede1a
https://doi.org/10.20944/preprints202103.0220.v1

A deep learning approach based on graphs to detect plantation lines.

Autor: Gonçalves DN; Faculty of Computer Science, Federal University of Mato Grosso do Sul, Av. Costa e Silva, Campo Grande, 79070-900, MS, Brazil., Junior JM; Faculty of Engineering, Architecture, and Urbanism and Geography, Federal University of Mato Grosso do Sul, Av. Costa e Silva, Campo Grande, 79070-900, MS, Brazil., Arruda MDS; Faculty of Computer Science, Federal University of Mato Grosso do Sul, Av. Costa e Silva, Campo Grande, 79070-900, MS, Brazil., Fernandes VJM; Faculty of Agricultural Sciences, Federal University of Grande Dourados, Av. Costa e Silva, Dourados, 79070-900, MS, Brazil., Ramos APM; Faculty of Science and Technology, São Paulo State University (UNESP), R. Roberto Simonsen, 305, Presidente Prudente 19060-900, SP, Brazil., Furuya DEG; Program of Environment and Regional Developement, University of Western São Paulo, Raposo Tavares, km 572, Presidente Prudente, 19067-175, SP, Brazil., Osco LP; Program of Environment and Regional Developement, University of Western São Paulo, Raposo Tavares, km 572, Presidente Prudente, 19067-175, SP, Brazil., He H; Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON N2L 3G1, Canada., Jorge LAC; National Research Center of Development of Agricultural Instrumentation, Brazilian Agricultural Research Agency (EMBRAPA), 13560-970, R. XV de Novembro, 1452, São Carlos, SP, Brazil., Li J; Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON N2L 3G1, Canada., Melgani F; Department of Information Engineering and Computer Science, University of Trento, Trento, 38122, Italy., Pistori H; INOVISAO, Dom Bosco Catholic University, Avenida Tamandaré, 6000, Campo Grande, 79117-900, MS, Brazil.; Faculty of Computer Science, Federal University of Mato Grosso do Sul, Av. Costa e Silva, Campo Grande, 79070-900, MS, Brazil., Gonçalves WN; Faculty of Computer Science, Federal University of Mato Grosso do Sul, Av. Costa e Silva, Campo Grande, 79070-900, MS, Brazil.; Faculty of Engineering, Architecture, and Urbanism and Geography, Federal University of Mato Grosso do Sul, Av. Costa e Silva, Campo Grande, 79070-900, MS, Brazil.

Publikováno v: Heliyon [Heliyon] 2024 May 23; Vol. 10 (11), pp. e31730. Date of Electronic Publication: 2024 May 23 (Print Publication: 2024).

Mauritia flexuosa palm trees airborne mapping with deep convolutional neural network.

Autor: Arce LSD; Faculty of Engineering, Architecture, and Urbanism and Geography, Federal University of Mato Grosso do Sul (UFMS), Avenida Costa e Silva, Campo Grande, Mato Grosso do Sul, 79070-900, Brazil., Osco LP; Faculty of Engineering and Architecture and Urbanism, University of Western São Paulo (UNOESTE), Rodovia Raposo Tavares, km 572-Limoeiro, Presidente Prudente, São Paulo, 19067-175, Brazil., Arruda MDS; Faculty of Engineering, Architecture, and Urbanism and Geography, Federal University of Mato Grosso do Sul (UFMS), Avenida Costa e Silva, Campo Grande, Mato Grosso do Sul, 79070-900, Brazil., Furuya DEG; Post-Graduate Program in Environment and Regional Development, University of Western São Paulo (UNOESTE), Rodovia Raposo Tavares, km 572-Limoeiro, Presidente Prudente, São Paulo, 19067-175, Brazil., Ramos APM; Post-Graduate Program in Environment and Regional Development, University of Western São Paulo (UNOESTE), Rodovia Raposo Tavares, km 572-Limoeiro, Presidente Prudente, São Paulo, 19067-175, Brazil.; Post-Graduate Program in Agronomy, University of Western São Paulo (UNOESTE), Rodovia Raposo Tavares, km 572-Limoeiro, Presidente Prudente, São Paulo, 19067-175, Brazil., Aoki C; Faculty of Engineering, Architecture, and Urbanism and Geography, Federal University of Mato Grosso do Sul (UFMS), Avenida Costa e Silva, Campo Grande, Mato Grosso do Sul, 79070-900, Brazil., Pott A; Faculty of Engineering, Architecture, and Urbanism and Geography, Federal University of Mato Grosso do Sul (UFMS), Avenida Costa e Silva, Campo Grande, Mato Grosso do Sul, 79070-900, Brazil., Fatholahi S; Department of Geography and Environmental Management, University of Waterloo (UW), Waterloo, ON, N2L 3G1, Canada., Li J; Department of Geography and Environmental Management, University of Waterloo (UW), Waterloo, ON, N2L 3G1, Canada., Araújo FF; Post-Graduate Program in Agronomy, University of Western São Paulo (UNOESTE), Rodovia Raposo Tavares, km 572-Limoeiro, Presidente Prudente, São Paulo, 19067-175, Brazil. fabio@unoeste.br., Gonçalves WN; Faculty of Engineering, Architecture, and Urbanism and Geography, Federal University of Mato Grosso do Sul (UFMS), Avenida Costa e Silva, Campo Grande, Mato Grosso do Sul, 79070-900, Brazil., Marcato Junior J; Faculty of Engineering, Architecture, and Urbanism and Geography, Federal University of Mato Grosso do Sul (UFMS), Avenida Costa e Silva, Campo Grande, Mato Grosso do Sul, 79070-900, Brazil.

Publikováno v: Scientific reports [Sci Rep] 2021 Oct 04; Vol. 11 (1), pp. 19619. Date of Electronic Publication: 2021 Oct 04.