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Exploratory Search Methodology for Sentinel 2 Data: A Prospect of Both Visual and Latent Characteristics

Vaduva, Corina and Georgescu, Florin Andrei and Griparis, Andreea and Neagoe, Iulia and Grivei, Alexandru Cosmin and Datcu, Mihai (2019) Exploratory Search Methodology for Sentinel 2 Data: A Prospect of Both Visual and Latent Characteristics. IGARSS 2019, 28 Jul-02 Aug 2019, Yokohama, Japan.

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Official URL: https://igarss2019.org/Papers/ViewPapers_MS.asp?PaperNum=5049

Abstract

Sentinel 2 (S2) satellite provides a systematic global coverage of land surfaces, measuring physical properties within 13 spectral intervals at a temporal resolution of 5 days. Computer-based data analysis is highly required to extract similarity by processing and assist human understanding and semantic annotation in support of Earth surface mapping. This paper proposes an exploratory search methodology for S2 data underpinning both visual and latent characteristics by means of data visualization and content representation. For optimized results, the authors focus on a detailed assessment of top relevant state-of-the-art algorithms for features extraction and classification to determine which one could handle best the characteristics of S2 data.

Item URL in elib:https://elib.dlr.de/130538/
Document Type:Conference or Workshop Item (Poster)
Title:Exploratory Search Methodology for Sentinel 2 Data: A Prospect of Both Visual and Latent Characteristics
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Vaduva, CorinaUniversity Politehnica of Bucharest, RomaniaUNSPECIFIED
Georgescu, Florin AndreiUniversity Politehnica of Bucharest, RomaniaUNSPECIFIED
Griparis, AndreeaUniversity Politehnica of Bucharest, RomaniaUNSPECIFIED
Neagoe, IuliaUniversity Politehnica of Bucharest, RomaniaUNSPECIFIED
Grivei, Alexandru CosminUniversity Politehnica of Bucharest, RomaniaUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Date:31 January 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Status:Published
Keywords:Exploratory Multispectral Data Analysis
Event Title:IGARSS 2019
Event Location:Yokohama, Japan
Event Type:international Conference
Event Dates:28 Jul-02 Aug 2019
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 > EO Data Science
Deposited By: Karmakar, Chandrabali
Deposited On:04 Dec 2019 14:20
Last Modified:04 Dec 2019 14:20

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