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Oil Spill Detection by SAR Images: Dark Formation Detection, Feature Extraction and Classification Algorithms
Sensors 2008, 8(11), 6810-6824; doi:10.3390/s8116810

Dielectric Constant Modelling with Soil–Air Composition and Its Effect on Sar Radar Signal Backscattered over Soil Surface

1,2,* , 1 and 3
1 CETP/IPSL/CNRS, 10-12 av. de l'Europe, 78140 Vélizy, France 2 IRD-CESBIO, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse cedex 9, France 3 CEMAGREF, UMR TETIS, 500 rue François Breton, 34093 Montpellier cedex 5, France
* Author to whom correspondence should be addressed.
Received: 16 July 2008 / Revised: 27 August 2008 / Accepted: 29 October 2008 / Published: 1 November 2008
(This article belongs to the Special Issue Synthetic Aperture Radar (SAR))
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The objective of this paper is to present the contribution of a new dielectric constant characterisation for the modelling of radar backscattering behaviour. Our analysis is based on a large number of radar measurements acquired during different experimental campaigns (Orgeval’94, Pays de Caux’98, 99). We propose a dielectric constant model, based on the combination of contributions from both soil and air fractions. This modelling clearly reveals the joint influence of the air and soil phases, in backscattering measurements over rough surfaces with large clods. A relationship is established between the soil fraction and soil roughness, using the Integral Equation Model (IEM), fitted to real radar data. Finally, the influence of the air fraction on the linear relationship between moisture and the backscattered radar signal is discussed.
Keywords: dielectric constant; radar; moisture; modelling dielectric constant; radar; moisture; modelling
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Zribi, M.; Le Morvan, A.; Baghdadi, N. Dielectric Constant Modelling with Soil–Air Composition and Its Effect on Sar Radar Signal Backscattered over Soil Surface. Sensors 2008, 8, 6810-6824.

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