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Enhanced classification of land cover through joint analysis of Sentinel 1 and Sentinel 2 data

Popescu, Anca and Vaduva, Corina and Faur, Daniela and Datcu, Mihai (2016) Enhanced classification of land cover through joint analysis of Sentinel 1 and Sentinel 2 data. Living Planet Symposium 2016, 9-13 May 2016, Prague, Czech Republic.

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The new European missions Sentinel 1 and Sentinel 2 bring added value to the Earth Observation market for land applications by providing timely high quality products with complementary information. The efficient and effective exploitation of the vast amounts of data already delivered by Sentinel 1, combined with the data delivered by Sentinel 2 is mandatory in order to get improved capabilities for the understanding and modelling of land cover classes dynamic and synergy. In this context, this paper discusses a potential methodology for Sentinel 1 and Sentinel 2 joint analysis and highlights the benefits brought by the increased information yielded by putting together these two kinds of data. To this end, the proposed approach follows the next steps: data pre-processing and registration, data representation and combined feature extraction, data classification and interpretation. The results are emphasized on urban and agricultural areas of high heterogeneity.

Item URL in elib:https://elib.dlr.de/108022/
Document Type:Conference or Workshop Item (Poster)
Title:Enhanced classification of land cover through joint analysis of Sentinel 1 and Sentinel 2 data
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Popescu, AncaUniversity Politehnica BucharestUNSPECIFIED
Vaduva, CorinaUniversity Politehnica BucharestUNSPECIFIED
Faur, DanielaUniversity Politehnica BucharestUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:12 May 2016
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Land cover, classification, Sentinel 1, 2
Event Title:Living Planet Symposium 2016
Event Location:Prague, Czech Republic
Event Type:international Conference
Event Dates:9-13 May 2016
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Dumitru, Corneliu Octavian
Deposited On:18 Nov 2016 10:50
Last Modified:18 Nov 2016 10:50

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