@InProceedings{OliveiraCaSaCoRoMa:2016:NePlTi,
author = "Oliveira, S. Teles de and Cardoso, Marcelo de C. and Santos,
Wisllay M. V. dos and Costa, Paulo C. P. and Rodrigues, Vagner J.
do Sacramento and Martins, Wellington S.",
affiliation = "GoGeo and GoGeo and GoGeo and GoGeo and GoGeo and {Universidade
Federal de Goia\́s (UFG)}",
title = "A new platform for time-series analysis of remote sensing images
in a distributed computing environment",
booktitle = "Anais...",
year = "2016",
editor = "Campelo, Claudio and Namikawa, Laercio",
pages = "128--139",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 17. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Time series analysis of remote sensing images is essential for the
de- tection of patterns, trends and changes to allow the modeling
and prediction of events in the earths surface. Users of
geographic information systems (GIS) are often involved in
spatio-temporal remote sensing analysis. In case of ap- plications
with large volumes of data, this analysis should be carried out in
an automated manner and allow spatiotemporal filtering in the
image database. This work proposes a new platform, DistSensing,
that can enable these analyses to be conducted with the aid of
distributed indices. We show how this DistSens- ing platform
outperforms the solutions found in the literature when there is
the need to run queries on the database using temporal and spatial
filters.",
conference-location = "Campos do Jord{\~a}o",
conference-year = "27-30 nov. 2016",
issn = "2179-4820",
language = "en",
ibi = "8JMKD3MGPDW34P/3NDC97E",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3NDC97E",
targetfile = "128-139oliveira.pdf",
urlaccessdate = "15 jun. 2024"
}