Zobrazeno 1 - 6
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pro vyhledávání: '"Bruno Ferraz do Amaral"'
Autor:
Bruno Ferraz do Amaral
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
Nas últimas décadas, com o crescimento acelerado na geração e armazenamento de dados, houve um aumento na necessidade de criação e gerenciamento de grandes bases de dados. Logo, a utilização de técnicas de mineração de dados adequadas para
Autor:
Bruno Ferraz do Amaral
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Nas últimas décadas, com o crescimento acelerado na geração e armazenamento de dados, houve um aumento na necessidade de criação e gerenciamento de grandes bases de dados. Logo, a utilização de técnicas de mineração de dados adequadas para
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c763ba63dbf6e7e2203f86b20eaa12da
https://doi.org/10.11606/d.55.2016.tde-18112016-105621
https://doi.org/10.11606/d.55.2016.tde-18112016-105621
Autor:
Bruno Ferraz do Amaral, Jurandir Zullo, Elaine Parros Machado de Sousa, Luciana A. S. Romani, Renata Ribeiro do Valle Gonçalves
Publikováno v:
MultiTemp
This paper discuss how to use the clustering analysis to discover and extract useful information from multi-temporal satellite images with low spatial resolution to improve the agricultural monitoring of sugarcane fields. A large database of satellit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::108d81c0f634883be5bcea11c03e4ece
https://doi.org/10.1109/multi-temp.2017.8035234
https://doi.org/10.1109/multi-temp.2017.8035234
Autor:
Bruno Ferraz do Amaral, Luciana Alvim Santos Romani, Priscila Pereira Coltri, Renata Ribeiro do Valle Gonçalves, Elaine Parros Machado de Sousa, Jurandir Zullo
Publikováno v:
IGARSS
Satellite images time series have been used to study land surface, such as identification of forest, water, urban areas, as well as for meteorological applications. However, for knowledge discovery in large remote sensing databases can be use cluster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e297663a9e453cf4df0f4684b962d9c2
https://doi.org/10.1109/igarss.2014.6946898
https://doi.org/10.1109/igarss.2014.6946898
Autor:
Agma J. M. Traina, Elaine Parros Machado de Sousa, Bruno Ferraz do Amaral, Luciana A. S. Romani, Daniel Y. T. Chino, Renata Ribeiro do Valle Gonçalves
Publikováno v:
Proceedings of the 16th International Conference on Enterprise Information Systems.
The amount of data generated and stored in many domains has increased in the last years. In remote sensing, this scenario of bursting data is not different. As the volume of satellite images stored in databases grows, the demand for computational alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37db5af5bf98ea7acc28a15ff27f1def
https://doi.org/10.5220/0004894002250232
https://doi.org/10.5220/0004894002250232
Autor:
Renata Ribeiro do Valle Gonçalves, Daniel Y. T. Chino, Agma J. M. Traina, Caetano Traina, L. A. S. Romani, Bruno Ferraz do Amaral, Jurandir Zullo, Elaine Parros Machado de Sousa
Publikováno v:
2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp).
This paper discusses how to take advantage of clustering techniques to analyze and extract useful information from multi-temporal images of low spatial resolution satellites to monitor the sugarcane expansion. Additionally, we introduce the SatImagEx
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45755951307932093cf12478f69dc501
https://doi.org/10.1109/multi-temp.2011.6005040
https://doi.org/10.1109/multi-temp.2011.6005040