Wavelets and decision trees for target detection over sea surface using Cosmo-Skymed SAR data

Authors:
Rafael L. Paes;Aylton Pagamisse
Affiliations:
Institute of Advanced Studies, IEAv, São José dos Campos, Brazil;São Paulo State University, UNESP, Presidente Prudente, Brazil
Venue:
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
Year:
2011

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Abstract

We are investigating the combination of wavelets and decision trees to detect ships and other maritime surveillance targets from medium resolution SAR images. Wavelets have inherent advantages to extract image descriptors while decision trees are able to handle different data sources. In addition, our work aims to consider oceanic features such as ship wakes and ocean spills. In this incipient work, Haar and Cohen-Daubechies-Feauveau 9/7 wavelets obtain detailed descriptors from targets and ocean features and are inserted with other statistical parameters and wavelets into an oblique decision tree.