Classifiers ensemble in remote sensing: a comparative analysis
Metadata
Show full item recordcomunitat-uji-handle:10234/158176
comunitat-uji-handle2:10234/71345
comunitat-uji-handle3:10234/141145
comunitat-uji-handle4:
TFG-TFMMetadata
Title
Classifiers ensemble in remote sensing: a comparative analysisAuthor (s)
Tutor/Supervisor
Grangel Seguer, Reyes; Caetano, Mário; Henriques, RobertoTutor/Supervisor; University.Department
Universitat Jaume I. Departament de Llenguatges i Sistemes InformàticsDate
2014-04Publisher
Universitat Jaume IAbstract
Land Cover and Land Use (LCLU) maps are very important tools for understanding the
relationships between human activities and the natural environment. Defining accurately
all the features over the Earth's surface ... [+]
Land Cover and Land Use (LCLU) maps are very important tools for understanding the
relationships between human activities and the natural environment. Defining accurately
all the features over the Earth's surface is essential to assure their management properly.
The basic data which are being used to derive those maps are remote sensing imagery
(RSI), and concretely, satellite images. Hence, new techniques and methods able to deal
with those data and at the same time, do it accurately, have been demanded.
In this work, our goal was to have a brief review over some of the currently approaches in
the scientific community to face this challenge, to get higher accuracy in LCLU maps.
Although, we will be focus on the study of the classifiers ensembles and the different
strategies that those ensembles present in the literature. We have proposed different
ensembles strategies based in our data and previous work, in order to increase the
accuracy of previous LCLU maps made by using the same data and single classifiers.
Finally, only one of the ensembles proposed have got significantly higher accuracy, in the
classification of LCLU map, than the better single classifier performance with the same
data. Also, it was proved that diversity did not play an important role in the success of this
ensemble. [-]
Subject
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
Description
Treball final de Màster Universitari Erasmus Mundus en Tecnologia Geoespacial (Pla de 2013). Codi: SIW013. Curs acadèmic 2013-2014
Type
info:eu-repo/semantics/masterThesisRights
info:eu-repo/semantics/openAccess
This item appears in the folowing collection(s)
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 Spain
Related items
Showing items related by title, author, creator and subject.
-
On-line learning from streaming data with delayed attributes: A comparison of classifiers and strategies
Millán Giraldo, Mónica; Sánchez Garreta, Josep Salvador; Traver Roig, Vicente Javier Springer (2011-10)In many real applications, data are not all available at the same time, or it is not affordable to process them all in a batch process, but rather, instances arrive sequentially in a stream. The scenario of streaming data ... -
Using hybrid associative classifier with translation (HACT) for studying imbalanced data sets
Cleofás Sánchez, Laura; Guzmán Escobedo, M.; Valdovinos Rosas, Rosa María; Yáñez Márquez, Cornelio; Camacho-Nieto, OSCAR Universidad Nacional de Colombia (Sede Bogotá). Facultad de Ingeniería (2012)En diversos problemas de reconocimiento de patrones, se ha observado que el desequilibrio de clases puede disminuir el desempeño del clasificador, principalmente en los patrones de las clases minoritarias. Una estrategia ... -
Prospective external validation of IOTA three‐step strategy to characterize and classify adnexal masses and retrospective assessment of an alternative two‐step strategy using simple rules risk
Hidalgo Mora, Juan José; Ros Bernal, Francisco; Aubá, María; Errasti, Tania; Olartecoechea, Begoña; Ruiz-Zambrana, Alvaro; Alcázar Zambrano, J.L. Wiley (2018)OBJECTIVES To perform the external validation of the three‐step strategy proposed by the International Ovarian Tumor Analysis Group to evaluate its diagnostic performance for classifying adnexal masses as benign or ...