Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Wesley Nunes Goncalves"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11809-11822 (2024)
Robustness in remote sensing image captioning is crucial for real-world applications. However, most of the research focuses on improving the performance of single captioning algorithms, either by introducing novel feature processing units or metatask
Externí odkaz:
https://doaj.org/article/b9ade1c915ec4d50ae42b5c3d70a4d74
Autor:
Kun Zhao, Lingfei Ma, Yu Meng, Li Liu, Junbo Wang, Jose Marcato Junior, Wesley Nunes Goncalves, Jonathan Li
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:15146-15154
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bf9dfd6669648b75f41c14fe70d5533
https://doi.org/10.1109/tits.2021.3137392
https://doi.org/10.1109/tits.2021.3137392
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:
Gabriel Kirsten Menezes, Gilberto Astolfi, José Augusto Correa Martins, Everton Castelão Tetila, Adair da Silva Oliveira Junior, Diogo Nunes Gonçalves, José Marcato Junior, Jonathan Andrade Silva, Jonathan Li, Wesley Nunes Gonçalves, Hemerson Pistori
Publikováno v:
Smart Agricultural Technology, Vol 4, Iss , Pp 100216- (2023)
This paper presents a semi-supervised learning method based on superpixels and convolutional neural networks (CNNs) to assign and improve the identification of weeds in soybean crops. Despite its promising results, CNNs require massive amounts of lab
Externí odkaz:
https://doaj.org/article/71e9ad13045d47a0b4f2f3fdbcf1cf74
Autor:
Celso Soares Costa, Wesley Nunes Gonçalves, Vanda Alice Garcia Zanoni, Mauro dos Santos de Arruda, Mário de Araújo Carvalho, Edgar Nascimento, José Marcato Junior, Odair Diemer, Hemerson Pistori
Publikováno v:
Smart Agricultural Technology, Vol 4, Iss , Pp 100160- (2023)
In this work, we propose a new way for automatically counting fish larvae in Petri dishes using images captured by a standard smartphone. A new tilapia larvae image dataset for training and validating machine learning models has been created and used
Externí odkaz:
https://doaj.org/article/6954a2a9edcc41bf8610e3363c4b2728
Autor:
Weiquan Liu, Yu Zang, Zhangyue Xiong, Xuesheng Bian, Chenglu Wen, Xiaolei Lu, Cheng Wang, José Marcato, Junior, Wesley Nunes Gonçalves, Jonathan Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 116, Iss , Pp 103171- (2023)
The high-precision generation of 3D building models is a controversial research topic in the field of smart cities. However, due to the limitations of single-source data, existing methods cannot simultaneously balance the local accuracy, overall inte
Externí odkaz:
https://doaj.org/article/f4cec7a6483e459cab93d75734bd74e8
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
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