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Título

Hyperspectral characterization of marine particles based on Mie-Lorentz and T-Matrix codes and a genetic algorithm

AutorSánchez, Albert-Miquel ; Zafra, Eloy ; Piera, Jaume
Fecha de publicación27-jun-2014
Citación2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) (2014)
ResumenParticle modeling is usually exploited, along with measured data, to infer the water content. However, the particle properties must be accurately known. In this paper, a methodology to estimate the hyperspectral complex-refractive-index signatures of marine particles is presented. It is is based on the Mie-Lorentz and T-matrix characterizations to obtain the particle inherent optical properties and uses a genetic algorithm for search optimization. This methodology is tested by accurately estimating the hyperspectral complex refractive indexes on two different examples, including monodisperse and polydisperse particle size distributions of spherical and non- spherical particles
Descripción6th Workshop on Hyperstectral Image and Signal Processing (WHISPERS 2014): Evolution in Remote Sensing, 24-27 June 2014, Lausanne, Switzerland
Versión del editorhttps://dx.doi.org/10.1109/WHISPERS.2014.8077610
URIhttp://hdl.handle.net/10261/127634
DOI10.1109/WHISPERS.2014.8077610
ISBN978-1-4673-9012-5
978-1-4673-9011-8
ISSN2158-6276
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