Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Lucas Prado Osco"'
Autor:
Diogo Nunes Gonçalves, José Marcato Junior, Mauro dos Santos de Arruda, Vanessa Jordão Marcato Fernandes, Ana Paula Marques Ramos, Danielle Elis Garcia Furuya, Lucas Prado Osco, Hongjie He, Lucio André de Castro Jorge, Jonathan Li, Farid Melgani, Hemerson Pistori, Wesley Nunes Gonçalves
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31730- (2024)
Identifying plantation lines in aerial images of agricultural landscapes is re-quired for many automatic farming processes. Deep learning-based networks are among the most prominent methods to learn such patterns and extract this type of information
Externí odkaz:
https://doaj.org/article/0b48a64d1da542c2a75b433202b35452
Autor:
Lucas Prado Osco, Qiusheng Wu, Eduardo Lopes de Lemos, Wesley Nunes Gonçalves, Ana Paula Marques Ramos, Jonathan Li, José Marcato, Junior
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 124, Iss , Pp 103540- (2023)
Segmentation is an essential step for remote sensing image processing. This study aims to advance the application of the Segment Anything Model (SAM), an innovative image segmentation model by Meta AI, in the field of remote sensing image analysis. S
Externí odkaz:
https://doaj.org/article/35c9dc9ba7af475284a357c318bc93b7
Autor:
Diogo Nunes Gonçalves, José Marcato, Junior, André Caceres Carrilho, Plabiany Rodrigo Acosta, Ana Paula Marques Ramos, Felipe David Georges Gomes, Lucas Prado Osco, Maxwell da Rosa Oliveira, José Augusto Correa Martins, Geraldo Alves Damasceno, Júnior, Márcio Santos de Araújo, Jonathan Li, Fábio Roque, Leonardo de Faria Peres, Wesley Nunes Gonçalves, Renata Libonati
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 116, Iss , Pp 103151- (2023)
Pantanal is the largest continuous wetland in the world, but its biodiversity is currently endangered by catastrophic wildfires that occurred in the last three years. The information available for the area only refers to the location and the extent o
Externí odkaz:
https://doaj.org/article/40f9059d3e4e4fb1b0a87b47ce12cf16
Publikováno v:
Colloquium Exactarum, Vol 14, Iss 1 (2023)
A integração entre as áreas de sensoriamento remoto e machine learning tem permitido um avanço na forma de mapeamento de campos agrícolas e monitoramento de culturas. Este trabalho investiga a capacidade de algoritmos de aprendizagem de máquina
Externí odkaz:
https://doaj.org/article/d08db48fb13742ce80fa79e1869796cb
Autor:
Luciene Sales Dagher Arce, Lucas Prado Osco, Mauro dos Santos de Arruda, Danielle Elis Garcia Furuya, Ana Paula Marques Ramos, Camila Aoki, Arnildo Pott, Sarah Fatholahi, Jonathan Li, Fábio Fernando de Araújo, Wesley Nunes Gonçalves, José Marcato Junior
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract 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
Externí odkaz:
https://doaj.org/article/8dec4f8d90b64f1498485e3188e1019e
Autor:
Mário de Araújo Carvalho, José Marcato, Junior, José Augusto Correa Martins, Pedro Zamboni, Celso Soares Costa, Henrique Lopes Siqueira, Márcio Santos Araújo, Diogo Nunes Gonçalves, Danielle Elis Garcia Furuya, Lucas Prado Osco, Ana Paula Marques Ramos, Jonathan Li, Amaury Antônio de Castro, Junior, Wesley Nunes Gonçalves
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 103045- (2022)
Tree species mapping is an important type of information demanded in different study fields. However, this task can be expensive and time-consuming, making it difficult to monitor extensive areas. Hence, automatic methods are required to optimize tre
Externí odkaz:
https://doaj.org/article/beddac35c1fe4e21929845726da5ae07
Autor:
Lucas Prado Osco, Eduardo Lopes de Lemos, Wesley Nunes Gonçalves, Ana Paula Marques Ramos, José Marcato Junior
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3232 (2023)
Recent advancements in Natural Language Processing (NLP), particularly in Large Language Models (LLMs), associated with deep learning-based computer vision techniques, have shown substantial potential for automating a variety of tasks. These are know
Externí odkaz:
https://doaj.org/article/ac0d08b3402b41e8999e03efe23673c3
Autor:
Vagner Souza Machado, José Marcato Junior, Mariany Kerriany Gonçalves de Souza, Lucas Prado Osco, Ana Paula Marques Ramos
Publikováno v:
Anuário do Instituto de Geociências, Vol 42, Iss 4, Pp 139-147 (2020)
Modelos Digitais de Superfícies (MDS) são importantes fontes de dados digitais representativos do relevo terrestre. Para identificar a acurácia vertical de um MDS, é necessário realizar a sua validação para a área de interesse. Uma possível
Externí odkaz:
https://doaj.org/article/a72c3d59e7e2468486e195bdf1cb5755
CLASSIFICAÇÃO DE SUPERFÍCIES IMPERMEÁVEIS EM IMAGEM MULTIESPECTRAL COM ALGORITMO DE MACHINE LEARNING
Autor:
Michelle Tais Garcia Furuya, Danielle Elis Garcia Furuya, Lucas Prado Osco, Ana Paula Marques Ramos
Publikováno v:
Colloquium Exactarum, Vol 13, Iss 3 (2022)
O processo de urbanização expõe a paisagem urbana a rápidas e constantes transformações. A mudança nos padrões de uso e cobertura do solo impacta diretamente na qualidade de vida das cidades. Por isso o monitoramento da composição territori
Externí odkaz:
https://doaj.org/article/95be869385444f9bbdb0ec3e9bd9dc28
Autor:
Danielle Elis Garcia Furuya, Lingfei Ma, Mayara Maezano Faita Pinheiro, Felipe David Georges Gomes, Wesley Nunes Gonçalvez, José Marcato Junior, Diego de Castro Rodrigues, Maria Carolina Blassioli-Moraes, Mirian Fernandes Furtado Michereff, Miguel Borges, Raúl Alberto Alaumann, Ednaldo José Ferreira, Lucas Prado Osco, Ana Paula Marques Ramos, Jonathan Li, Lúcio André de Castro Jorge
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 105, Iss , Pp 102608- (2021)
Accurately detecting the insect damage caused in plants might reduce losses in crop yields. Hyperspectral data is a well-accepted data source to attend this issue. However, due to their high dimensional, both robust and intelligent methods are requir
Externí odkaz:
https://doaj.org/article/7dc0f8d5e53d4f059238df93a47dd208