Neural-network based stateless ice detection in ERS scatterometer data

Xavier Neyt; Pauline Pettiaux; Nicolas Manise; Marc Acheroy

Neural-network based stateless ice detection in ERS scatterometer data

Xavier Neyt, Pauline Pettiaux, Nicolas Manise, Marc Acheroy

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Abstract

A new scheme to perform stateless ice/sea discrimination in ERS scatterometer data is proposed. This method consists in combining several methods proposed in the literature using a Bayesian framework. Each of the combined method is first reviewed in a consistent framework. In particular, the ice/sea probability according to each individual criterion is extracted using a neural network. The proposed method is shown to provide acceptable results even without taking into account historic data, i.e. without performing temporal averaging.

Original language	English
Article number	566
Pages (from-to)	877-884
Number of pages	8
Journal	European Space Agency, (Special Publication) ESA SP
Issue number	572
Publication status	Published - 2005
Event	2004 Envisat and ERS Symposium - Salzburg, Austria Duration: 6 Sept 2004 → 10 Sept 2004

Keywords

Ice detection
Neural network
Scatterometer, ERS

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esa04-neytAccepted author manuscript, 2.19 MBLicence: CC BY-NC-ND

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title = "Neural-network based stateless ice detection in ERS scatterometer data",

abstract = "A new scheme to perform stateless ice/sea discrimination in ERS scatterometer data is proposed. This method consists in combining several methods proposed in the literature using a Bayesian framework. Each of the combined method is first reviewed in a consistent framework. In particular, the ice/sea probability according to each individual criterion is extracted using a neural network. The proposed method is shown to provide acceptable results even without taking into account historic data, i.e. without performing temporal averaging.",

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author = "Xavier Neyt and Pauline Pettiaux and Nicolas Manise and Marc Acheroy",

year = "2005",

language = "English",

pages = "877--884",

journal = "European Space Agency, (Special Publication) ESA SP",

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number = "572",

note = "2004 Envisat and ERS Symposium ; Conference date: 06-09-2004 Through 10-09-2004",

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TY - JOUR

T1 - Neural-network based stateless ice detection in ERS scatterometer data

AU - Neyt, Xavier

AU - Pettiaux, Pauline

AU - Manise, Nicolas

AU - Acheroy, Marc

PY - 2005

Y1 - 2005

N2 - A new scheme to perform stateless ice/sea discrimination in ERS scatterometer data is proposed. This method consists in combining several methods proposed in the literature using a Bayesian framework. Each of the combined method is first reviewed in a consistent framework. In particular, the ice/sea probability according to each individual criterion is extracted using a neural network. The proposed method is shown to provide acceptable results even without taking into account historic data, i.e. without performing temporal averaging.

AB - A new scheme to perform stateless ice/sea discrimination in ERS scatterometer data is proposed. This method consists in combining several methods proposed in the literature using a Bayesian framework. Each of the combined method is first reviewed in a consistent framework. In particular, the ice/sea probability according to each individual criterion is extracted using a neural network. The proposed method is shown to provide acceptable results even without taking into account historic data, i.e. without performing temporal averaging.

KW - Ice detection

KW - Neural network

KW - Scatterometer, ERS

UR - http://www.scopus.com/inward/record.url?scp=23844433962&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:23844433962

SN - 0379-6566

SP - 877

EP - 884

JO - European Space Agency, (Special Publication) ESA SP

JF - European Space Agency, (Special Publication) ESA SP

IS - 572

M1 - 566

T2 - 2004 Envisat and ERS Symposium

Y2 - 6 September 2004 through 10 September 2004

ER -

Neural-network based stateless ice detection in ERS scatterometer data

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Keywords

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