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Assessing the benefit of SAR Polarimetry for Land Cover Classification

Alex Rodrigues (1), Dr Douglas Corr(1) , and Dr Dirk Hoekman(2)

(1) QinetiQ, Room 1058, A8 Building, Farnborough, Hants. GU14 0LX, United Kingdom
(2) SarVision, KvK Arnhem 09112525, Wageningen, Netherlands

Abstract

In this paper we demonstrate and validate the benefit of polarimetry for land cover classification. The performance of a number of supervised and unsupervised algorithms are presented. Two data sources are used: DLR -ESAR P and L-Band data of Alling, Germany and JPL AIRSAR P, L and C Band data of Flevoland, The Netherlands. Both datasets have comprehensive ground truth and this is used as validation. In addition to full polarimetry, the performance of L and C Band partial polarimetry (HH-HV and HH-VV combinations) is also assessed. Confusion matrices are presented for each algorithm and conclusions about the best frequency and polarisation combinations to use are drawn.

 

Full paper

 

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