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Data mining tools for Sentinel 1 and Sentinel 2 data exploitation

Espinoza-Molina, Daniela and Datcu, Mihai (2016) Data mining tools for Sentinel 1 and Sentinel 2 data exploitation. In: Image and Signal Processing for Remote Sensing XXII, 10004, pp. 1-9. SPIE Digital Library. SPIE Remote Sensing, 26-29 Sep 2016, Edinburgh. DOI: 10.1117/12.2241542

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Official URL: http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=2571523


With the new planned Sentinel missions, the availability of Earth Observation data is increasing everyday offering a larger number of applications that can be created using these data. Currently, three of the five missions were launched and they are delivering a wealth of data and imagery of the Earth's surface as, for example, the Sentinel-1 carries an advanced radar instrument to provide an all-weather, day-and-night supply of Earth imagery. The second mission, the Sentinel-2, carries an optical instrument payload that will sample 13 spectral bands at different resolutions. Even though, we count on tools for automated loading and visual exploration of the Sentinel data, we still face the problem of extracting relevant structures from the images, finding similar patterns in a scene, exploiting the data, and creating final user applications based on these processed data. In this paper, we present our approach for processing radar and multi-spectral Sentinel data. Our approach is mainly composed of three steps: 1) the generation of a data model that explains the information contained in a Sentinel product. The model is formed by primitive descriptors and metadata entries, 2) the storage of this model in a database system, 3) the semantic definition of the image content based on machine learning algorithms and relevance feedback methods. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

Item URL in elib:https://elib.dlr.de/107909/
Document Type:Conference or Workshop Item (Poster)
Title:Data mining tools for Sentinel 1 and Sentinel 2 data exploitation
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Espinoza-Molina, Danieladaniela.espinozamolina (at) dlr.deUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Date:September 2016
Journal or Publication Title:Image and Signal Processing for Remote Sensing XXII
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1117/12.2241542
Page Range:pp. 1-9
Publisher:SPIE Digital Library
Series Name:SPIE Proceedings
Keywords:primitive feature extraction, image analysis, Sentinel data
Event Title:SPIE Remote Sensing
Event Location:Edinburgh
Event Type:international Conference
Event Dates:26-29 Sep 2016
Organizer:SPIE Org.
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: Espinoza Molina, Daniela
Deposited On:18 Nov 2016 09:59
Last Modified:24 Nov 2016 17:30

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