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Visual Data Mining applied on Earth Observation datasets

Griparis, Andreea and Georgescu, Florin-Andrei and Datcu, Mihai (2017) Visual Data Mining applied on Earth Observation datasets. In: Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International, pp. 566-569. IEEE Xplore. IGARSS 2017, 23.-28. Juli 2017, Fort Worth, TX, USA. DOI: 10.1109/IGARSS.2017.8127016 ISSN 2153-7003

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/document/8127016/

Abstract

In the quest of developing more accurate methodologies for Earth Observation (EO) image retrieval, visualization and information content exploration, a deep understanding of the data being analyzed is needed. In this paper we propose a simple but efficient visual data mining methodology that can be used for these tasks. Our solution consists in a patch-based feature extraction to derive image features and the projection of the achieved high dimensional feature space in a 3D space using dimensionality reduction methods. Gabor, Spectral Histogram and Bag-of-Words descriptors are the features assigned to represent the content of the data while PCA and t-SNE are the methods designed to achieve the 3D representation. The quality of information provided by the 3D visualization of the data depends on the extracted features. Therefore, a Sentinel-2 scene with various thematic classes is used for feature extraction and classification, to prove the performance of the selected descriptors.

Item URL in elib:https://elib.dlr.de/118570/
Document Type:Conference or Workshop Item (Speech)
Title:Visual Data Mining applied on Earth Observation datasets
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Griparis, AndreeaUniversity Politehnica of Bucharest, RomaniaUNSPECIFIED
Georgescu, Florin-AndreiMilitary Technical Academy, RomaniaUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:July 2017
Journal or Publication Title:Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2017.8127016
Page Range:pp. 566-569
Publisher:IEEE Xplore
ISSN:2153-7003
Status:Published
Keywords:data mining, data visualization
Event Title:IGARSS 2017
Event Location:Fort Worth, TX, USA
Event Type:international Conference
Event Dates:23.-28. Juli 2017
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: Zielske, Mandy
Deposited On:01 Feb 2018 18:39
Last Modified:01 Feb 2018 18:39

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