Publication: LAND-COVER CLASSIFICATION THROUGH SEQUENTIAL LEARNING-BASED OPTIMUM-PATH FOREST
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Coadvisor
Graduate program
Undergraduate course
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Publisher
Ieee
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Work presented at event
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Acesso aberto
Abstract
Sequential learning-based pattern classification aims at providing more accurate labeled maps by adding an extra step of classification using an augmented feature vector. In this paper, we evaluated the robustness of Optimum-Path Forest (OPF) classifier in the context of land-cover classification using both satellite and radar images, showing OPF can benefit from sequential learning theoretical basis.
Description
Keywords
Land-cover classification, Optimum-Path Forest, Sequential Learning
Language
English
Citation
2015 Ieee International Geoscience And Remote Sensing Symposium (igarss). New York: Ieee, p. 76-79, 2015.
