Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Roberto Arnaldo Trancoso Gomes"'
Autor:
Osmar Luiz Ferreira de Carvalho, Osmar Abilio de Carvalho Junior, Anesmar Olino de Albuquerque, Nickolas Castro Santana, Renato Fontes Guimaraes, Roberto Arnaldo Trancoso Gomes, Dibio Leandro Borges
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 3403-3420 (2022)
Vehicle classification is a hot computer vision topic, with studies ranging from ground-view to top-view imagery. Top-view images allow understanding city patterns, traffic management, among others. However, there are some difficulties for pixel-wise
Externí odkaz:
https://doaj.org/article/f52dfe998e1745539dac392af1d6f9ce
Autor:
Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Júnior, Anesmar Olino de Albuquerque, Nickolas Castro Santana, Díbio Leandro Borges, Argelica Saiaka Luiz, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 112, Iss , Pp 102910- (2022)
Panoptic segmentation is a recent and powerful task that tackles individual object recognition (“things”) and multiple backgrounds (“stuff”) simultaneously. Remote sensing studies with panoptic segmentation are still restricted and recent, wi
Externí odkaz:
https://doaj.org/article/9280f8099fcd4b8b8b7eb9bfa0647a38
Autor:
Anesmar Olino de Albuquerque, Osmar Luiz Ferreira de Carvalho, Cristiano Rosa e Silva, Argelica Saiaka Luiz, Pablo P. de Bem, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimaraes, Osmar Abilio de Carvalho Junior
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 8447-8457 (2021)
The automatic detection of Center Pivot Irrigation Systems (CPIS) is fundamental for establishing public policies, especially in countries with a growth perspective in this technology, like Brazil. Previous studies to detect CPIS using deep learning
Externí odkaz:
https://doaj.org/article/f720753769e14802a5f818c9db6a786f
Autor:
Nájla Vilar Aires de Moura, Osmar Luiz Ferreira de Carvalho, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães, Osmar Abílio de Carvalho Júnior
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 107, Iss , Pp 102695- (2022)
Oil spills are a worldwide concern since they cause environmental problems and financial losses. Automatic detection plays a crucial role in rapid decision-making to reduce damage. In this context, deep learning and remote sensing are powerful tools
Externí odkaz:
https://doaj.org/article/7df9b17c0fc14137bceebb3eb51adeb9
Autor:
Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Junior, Anesmar Olino de Albuquerque, Alex Gois Orlandi, Issao Hirata, Díbio Leandro Borges, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1240 (2023)
Wind energy is one of Brazil’s most promising energy sources, and the rapid growth of wind plants has increased the need for accurate and efficient inspection methods. The current onsite visits, which are laborious and costly, have become unsustain
Externí odkaz:
https://doaj.org/article/b272b9dde64c4b6aba5348a84cd911ad
Autor:
Ivo Augusto Lopes Magalhães, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, Anesmar Olino de Albuquerque, Potira Meirelles Hermuche, Éder Renato Merino, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4858 (2022)
The state of Amapá within the Amazon biome has a high complexity of ecosystems formed by forests, savannas, seasonally flooded vegetation, mangroves, and different land uses. The present research aimed to map the vegetation from the phenological beh
Externí odkaz:
https://doaj.org/article/d859b3e4b390474fa7255e519219ecba
Autor:
Felipe Lima Ramos Barbosa, Renato Fontes Guimarães, Osmar Abílio de Carvalho Júnior, Roberto Arnaldo Trancoso Gomes, Osmar Luiz Ferreira de Carvalho, Thyego Pery Monteiro de Lima
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3540 (2022)
LiDAR is an excellent source of elevation data used in many surveys. The spaceborne handle system, Global Ecosystem Dynamics Investigation (GEDI), provides ground elevation information with high accuracy except for areas with steep slopes. GEDI data
Externí odkaz:
https://doaj.org/article/8adabe8476944fe886256fdc9d9703cc
Autor:
Felipe Lima Ramos Barbosa, Renato Fontes Guimarães, Osmar Abílio de Carvalho Júnior, Roberto Arnaldo Trancoso Gomes
Publikováno v:
Revista Sociedade & Natureza, Vol 33 (2021)
Os desafios sociais e ambientais estão diretamente relacionados à concentração populacional existente nos ambientes urbanos, que contribuem em mais de 75% do Produto Interno Bruto (PIB) mundial. Assim, é essencial a detecção da dinâmica do us
Externí odkaz:
https://doaj.org/article/00ea1000675a447baa50eb0fb2583fd3
Autor:
Alex Gois Orlandi, Renata de Araujo Nobre Farias, Osmar Abílio Carvalho Júnior, Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes
Publikováno v:
Cadernos Gestão Pública e Cidadania, Vol 26, Iss 83 (2021)
A presente pesquisa tem como objetivo demonstrar como o controle gerencial na administração pública pode aplicar o sensoriamento remoto por meio de imagens gratuitas de satélite como ferramenta de transformação digital, gerando economia e efici
Externí odkaz:
https://doaj.org/article/fcd63b1a3e784c56bce9bb27d4741aef
Autor:
Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Júnior, Cristiano Rosa e Silva, Anesmar Olino de Albuquerque, Nickolas Castro Santana, Dibio Leandro Borges, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 965 (2022)
Panoptic segmentation combines instance and semantic predictions, allowing the detection of countable objects and different backgrounds simultaneously. Effectively approaching panoptic segmentation in remotely sensed data is very promising since it p
Externí odkaz:
https://doaj.org/article/a598fc48aeb14fdd8b30e251f695079e