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Multi-sensor data merging with stacked neural networks for the creation of satellite long-term climate data records

Loyola, Diego and Coldewey-Egbers, Melanie (2012) Multi-sensor data merging with stacked neural networks for the creation of satellite long-term climate data records. EURASIP Journal on Advances in Signal Processing, 2012:91, pp. 1-10. DOI: 10.1186/1687-6180-2012-91.

Full text not available from this repository.

Official URL: http://asp.eurasipjournals.com/content/2012/1/91

Abstract

This article presents a novel artificial neural network technique for merging multi-sensor satellite data. Stacked neural networks (NNs) are used to learn the temporal and spatial drifts between data from different satellite sensors. The resulting NNs are then used to sequentially adjust the satellite data for the creation of a global homogeneous long-term climate data record. The proposed technique has successfully been applied to the merging of ozone data from three European satellite sensors covering together a time period of more than 16 years. The resulting long-term ozone data record has an excellent long-term stability of 0.2 ± 0.2% per decade and can therefore be used for ozone and climate studies.

Document Type:Article
Title:Multi-sensor data merging with stacked neural networks for the creation of satellite long-term climate data records
Authors:
AuthorsInstitution or Email of Authors
Loyola, DiegoDLR-MF
Coldewey-Egbers, MelanieDLR-MF
Date:2012
Journal or Publication Title:EURASIP Journal on Advances in Signal Processing
Refereed publication:Yes
In Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:2012:91
DOI:10.1186/1687-6180-2012-91
Page Range:pp. 1-10
Status:Published
Keywords:stacked neural networks; multi-sensor data merging; satellite ozone
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Ozon-SAF (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Deposited By: Diego Loyola
Deposited On:26 Jun 2012 06:58
Last Modified:04 Apr 2013 16:37

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