Spatial location and ecological content of support vectors in an SVM classification of tropical vegetation

The Support Vector Machines (SVM) are increasingly far-reaching in remotely sensed data classification. As supervised classifiers, the SVM output depends on the input pixels, pointing out that training is potentially an important stage for optimizing classification accuracy. The SVM consist in proje...

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Bibliographic Details
Published in:Remote Sensing Letters Vol. 4; no. 7; pp. 686 - 695
Main Authors: Pouteau, Robin, Collin, Antoine
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis 01.07.2013
Informa UK Limited
Taylor & Francis Ltd
Taylor and Francis
Subjects:
SVM
SVM
ISSN:2150-7058, 2150-704X, 2150-7058
Online Access:Get full text
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