Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images

Autor: Pedro Zamboni, José Marcato Junior, Jonathan de Andrade Silva, Gabriela Takahashi Miyoshi, Edson Takashi Matsubara, Keiller Nogueira, Wesley Nunes Gonçalves

Publikováno v: Remote Sensing, Vol 13, Iss 13, p 2482 (2021)

Urban forests contribute to maintaining livability and increase the resilience of cities in the face of population growth and climate change. Information about the geographical distribution of individual trees is essential for the proper management o

Externí odkaz: https://doaj.org/article/b81130f209074251845d87eb50ee8f14

Evaluation of Hyperspectral Multitemporal Information to Improve Tree Species Identification in the Highly Diverse Atlantic Forest

Autor: Gabriela Takahashi Miyoshi, Nilton Nobuhiro Imai, Antonio Maria Garcia Tommaselli, Marcus Vinícius Antunes de Moraes, Eija Honkavaara

Publikováno v: Remote Sensing, Vol 12, Iss 2, p 244 (2020)

The monitoring of forest resources is crucial for their sustainable management, and tree species identification is one of the fundamental tasks in this process. Unmanned aerial vehicles (UAVs) and miniaturized lightweight sensors can rapidly provide

Externí odkaz: https://doaj.org/article/3a49712b54974ac08ac54ea84f117616

EVALUATING A CONVOLUTIONAL NEURAL NETWORK FOR FEATURE EXTRACTION AND TREE SPECIES CLASSIFICATION USING UAV-HYPERSPECTRAL IMAGES

Autor: Carla Luciane Lima, Laura Elena Cué La Rosa, C. M. de Almeida, Antonio Maria Garcia Tommaselli, Marcos Benedito Schimalski, Gabriela Takahashi Miyoshi, Camile Sothe, Jose David Bermudez Castro, Michele Dalponte, Alemu Gonsamo, Raul Queiroz Feitosa, Veraldo Liesenberg

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2020, Pp 193-199 (2020)

The classification of tree species can significantly benefit from high spatial and spectral information acquired by unmanned aerial vehicles (UAVs) associated with advanced feature extraction and classification methods. Different from the traditional

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53388a0b327e0fe93245591c13a7d888
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2020/193/2020/isprs-annals-V-3-2020-193-2020.pdf

Assessment of CNN-Based Methods for Single Tree Detection on High-Resolution RGB Images in Urban Areas

Autor: Wesley Nunes Gonçalves, Pedro Alberto Pereira ZamboniThgeThe, Jose Marcato, Jonathan de Andrade Silva, Jose Martins, Gabriela Takahashi Miyoshi

Publikováno v: IGARSS

Maintaining vegetation cover in cities is a key component to keep cities safe and resilient. The monitoring of trees is usually done with LiDAR data or multi and hyperspectral images. In this sense, remote sensing RGB images are presented as a cheape

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b838ef07bad001cc034ce1ed99d116cb
https://doi.org/10.1109/igarss47720.2021.9553092

Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images

Autor: Jonathan de Andrade Silva, Gabriela Takahashi Miyoshi, Keiller Nogueira, José Marcato Junior, Wesley Nunes Gonçalves, P. A. P. Zamboni, Edson Takashi Matsubara

Publikováno v: Remote Sensing
Volume 13
Issue 13
Pages: 2482
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Remote Sensing, Vol 13, Iss 2482, p 2482 (2021)

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Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74c318d1fc5b89f2f16dd853a2f66e1c
http://dspace.stir.ac.uk/bitstream/1893/33010/1/remotesensing-13-02482.pdf