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Reference TypeConference Paper (Conference Proceedings)
Last Update2015: (UTC) administrator
Metadata Last Update2016: (UTC) administrator
Citation KeyAndradeJrArauSant:2015:AuCrMa
TitleAutomatic Creation of Maps by Using Multiple Data Sensors
Access Date2022, Jan. 28
Number of Files1
Size571 KiB
Context area
Author1 Andrade Junior, Edemir Ferreira de
2 Araujo, Arnaldo de Albuquerque
3 Santos, Jefersson Alex dos
Affiliation1 Universidade Federal de Minas Gerais (UFMG)
2 Universidade Federal de Minas Gerais (UFMG)
3 Universidade Federal de Minas Gerais (UFMG)
EditorRios, Ricardo Araujo
Paiva, Afonso
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeWork in Progress
History (UTC)2015-07-16 06:36:14 :: -> administrator ::
2016-06-03 21:18:36 :: administrator -> :: 2015
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
KeywordsData fusion
remote sensing
ensemble of classifiers
AbstractAn usual way to acquire information about monitored objects or areas in earth surface is by using remote sensing images. These images can be obtained by different types of sensors (e.g active and passive) and according to the sensor, distinct properties can be observed from the specified data. Typically, these sensor are specialized to encode one or few properties from the object (e.g. spectral and spatial properties), which makes necessary the utilization of diverse and different sensors to obtain many complementary information as possible. Given the amount of information collected, is essential use a capable technique to combine accordingly the different characteristics obtained. The objective of this work, which is in progress, is the development of a framework able to exploit the diversity of these different types of features, extracted from different sensors, to achieve high degrees of accuracy in the creation of thematic maps for the classification task. > SDLA > SIBGRAPI 2015 > Automatic Creation of...
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