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Uncertainty quantification in synthetic aperture radar remote sensing data processing

Savastano, Salvatore and Guida, Raffaella (2018) Uncertainty quantification in synthetic aperture radar remote sensing data processing In: IGARSS 2018, the 38th annual symposium of the IEEE Geoscience and Remote Sensing Society (GRSS), 22-27 Jul 2018, Valencia, Spain.

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Abstract

A new methodology, based on the International Organization for Standardization (ISO) Guide to the expression of Uncertainty in Measurement (GUM), for the analysis of uncertainties in Synthetic Aperture Radar (SAR) remote sensing data is presented. The principal idea is to assess the sources of uncertainty, developing computational approaches to propagate uncertainties through the whole SAR signal processing chain. The final goal is to construct uncertainties budgets to quantify the total uncertainty of SAR products, permitting their ’traceability’ to international reference standards.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Savastano, Salvatores.savastano@surrey.ac.uk
Guida, RaffaellaR.Guida@surrey.ac.uk
Date : 22 July 2018
Copyright Disclaimer : © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : SAR; GUM; Uncertainty
Related URLs :
Depositing User : Clive Harris
Date Deposited : 02 Aug 2018 08:34
Last Modified : 02 Aug 2018 08:34
URI: http://epubs.surrey.ac.uk/id/eprint/848832

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