Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Cristiano Rosa"'
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
Publikováno v:
Revista de Estudos em Educação e Diversidade, Vol 3, Iss 7 (2022)
Neste trabalho realizamos uma análise narrativa dos livros da coleção “Reino Grande do Sul”, uma releitura dos clássicos infantis para o contexto da cultura gaúcha. Apoiados nos Estudos de Gênero e nos Estudos Culturais em uma perspectiva p
Externí odkaz:
https://doaj.org/article/1d306b1ef0b24cbf96e0e0c9dbf6f146
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
Autor:
Aline Silva de Bona, Ricardo Silva Ribeiro, Bruna Oliveira da Silva, Carla Daniela Guasselli da Silva Engel, Cassiana Mallet Cerqueira Garcia, Cristiano Rosa dos Santos Junior, Jéssica Lopes Monteiro, Leonardo Geziel de Matos Dada, Mariana Nunes Barato, Monalisa da Silva, Raira Rossner da Silva, Tais Regina Pires Vasconcellos, Tamires Bon Viera, Tatiele Brusch Grassi, Winicius Ayres Rossi
Publikováno v:
REMAT, Vol 2, Iss 2, Pp 138-153 (2016)
O trabalho é uma reflexão das primeiras ações – didáticas e metodológicas – como professores de Matemática na Escola Básica, viabilizadas pelo projeto de extensão denominado “Iniciação à Docência”, do IFRS, Campus Osório. Tal tr
Externí odkaz:
https://doaj.org/article/6244ef2399644a56874ea63af63831c6
Autor:
Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Júnior, Anesmar Olino de Albuquerque, Pablo Pozzobon de Bem, Cristiano Rosa Silva, Pedro Henrique Guimarães Ferreira, Rebeca dos Santos de Moura, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães, Díbio Leandro Borges
Publikováno v:
Remote Sensing, Vol 13, Iss 1, p 39 (2020)
Instance segmentation is the state-of-the-art in object detection, and there are numerous applications in remote sensing data where these algorithms can produce significant results. Nevertheless, one of the main problems is that most algorithms use R
Externí odkaz:
https://doaj.org/article/dc454eb05a884721948cd089e12292af
Autor:
Hugo Crisóstomo de Castro Filho, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, Pablo Pozzobon de Bem, Rebeca dos Santos de Moura, Anesmar Olino de Albuquerque, Cristiano Rosa Silva, Pedro Henrique Guimarães Ferreira, Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes
Publikováno v:
Remote Sensing, Vol 12, Iss 16, p 2655 (2020)
The Synthetic Aperture Radar (SAR) time series allows describing the rice phenological cycle by the backscattering time signature. Therefore, the advent of the Copernicus Sentinel-1 program expands studies of radar data (C-band) for rice monitoring a
Externí odkaz:
https://doaj.org/article/13874cb20b544ee690b441192fea9317
Autor:
Anesmar Olino de Albuquerque, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, Pablo Pozzobon de Bem, Pedro Henrique Guimarães Ferreira, Rebeca dos Santos de Moura, Cristiano Rosa Silva, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães
Publikováno v:
Remote Sensing, Vol 12, Iss 13, p 2159 (2020)
The center pivot irrigation system (CPIS) is a modern irrigation technique widely used in precision agriculture due to its high efficiency in water consumption and low labor compared to traditional irrigation methods. The CPIS is a leader in mechaniz
Externí odkaz:
https://doaj.org/article/12dba8ca06d34720ac0beb82b7c679ec
Autor:
Osmar Abílio de Carvalho Júnior, Renato Fontes Guimarães, Cristiano Rosa Silva, Roberto Arnaldo Trancoso Gomes
Publikováno v:
Remote Sensing, Vol 7, Iss 6, Pp 6950-6985 (2015)
Typically, digital image processing for burned-areas detection combines the use of a spectral index and the seasonal differencing method. However, the seasonal differencing has many errors when applied to a long-term time series. This article aims to
Externí odkaz:
https://doaj.org/article/ad6baaead77247e090213a63c6e198bb
Autor:
Osmar Abílio de Carvalho Júnior, Luz Marilda de Moraes Maciel, Ana Paula Ferreira de Carvalho, Renato Fontes Guimarães, Cristiano Rosa Silva, Roberto Arnaldo Trancoso Gomes, Nilton Correia Silva
Publikováno v:
Remote Sensing, Vol 6, Iss 4, Pp 2989-3019 (2014)
Speckle noise (salt and pepper) is inherent to synthetic aperture radar (SAR), which causes a usual noise-like granular aspect and complicates the image classification. In SAR image analysis, the spatial information might be a particular benefit for
Externí odkaz:
https://doaj.org/article/e8ceaa153c92473fa3c595985bdef9ac
Autor:
Ana Paula Ferreira de Carvalho, Cristiano Rosa Silva, Alan R. Gillespie, Roberto Arnaldo Trancoso Gomes, Osmar Abílio de Carvalho, Renato Fontes Guimarães, Nilton Correia Silva
Publikováno v:
Remote Sensing, Vol 5, Iss 6, Pp 2763-2794 (2013)
Radiometric precision is difficult to maintain in orbital images due to several factors (atmospheric conditions, Earth-sun distance, detector calibration, illumination, and viewing angles). These unwanted effects must be removed for radiometric consi
Externí odkaz:
https://doaj.org/article/57a0c412aa164121a9b5d6e641ee6039