Multi-source SVM fusion for environmental monitoring in Marquesas archipelago

Author

Pouteau, Robin ; Stoll, Benoît ; Chabrier, Sébastien

Author_Institution

South Pacific Geosci. (GePaSud) Lab., French Polynesia Univ. (UPF), Faa´´a, France

fYear

2010

fDate

25-30 July 2010

Firstpage

2719

Lastpage

2722

Abstract

Mapping plant species in montane tropical ecosystems needs the use of complementary information sources to be optimally accurate. In this paper, we study SVM fusion as a tool to classify several sources as optical, synthetic aperture radar and topographical ones. Our fusion scheme consists first in applying a single SVM on each individual data. Their outputs are then used for a SVM-based decision fusion to predict the final class membership of each sample. SVM fusion outperforms all mono-source SVM, our fusion method showing numerous successful traits.

Keywords

environmental monitoring (geophysics); geophysical signal processing; remote sensing by radar; sensor fusion; support vector machines; synthetic aperture radar; vegetation mapping; Marquesas archipelago; complementary information sources; environmental monitoring; montane tropical ecosystems; multisource SVM fusion; optical information source; plant species mapping; synthetic aperture radar information source; topographical information source; Accuracy; Classification algorithms; Kernel; Optical sensors; Remote sensing; Support vector machines; Vegetation mapping; Data fusion; multi-source imagery; optical data; support vector machines (SVM); synthetic aperture radar (SAR) data; topography;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Conference_Location

Honolulu, HI

ISSN

2153-6996

Print_ISBN

978-1-4244-9565-8

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2010.5654463

Filename

5654463