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Dimensionality Reduction for Visual Data Mining of Earth Observation Archives

Griparis, Andreea and Faur, Daniela and Datcu, Mihai (2016) Dimensionality Reduction for Visual Data Mining of Earth Observation Archives. IEEE Geoscience and Remote Sensing Letters, 13 (11), pp. 1701-1705. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/LGRS.2016.2604919 ISSN 1545-598X

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Official URL: http://ieeexplore.ieee.org/document/7571094/


Modern knowledge discovery systems, empowered by visual data exploration techniques, enable the user to discover and understand the data content. Considering patch-level processing, the visual exploration of Earth Observation archives aims to identify groups of items sharing similar semantic content. Each patch is further represented by certain descriptors, i.e., spectral signatures or Weber local descriptors, to capture structural signature. Later on, the content of the archive is illustrated by a 3-D projection of the high-dimensional space of the descriptors. Aspiring to prove the visual data mining potential, this letter intends to determine the capability of dimensionality reduction techniques to achieve a meaningful 3-D projection of the high-dimensional space. Several real-world data sets were used, i.e., University of California, Merced Land Use data set and a Landsat 7 Enhanced Thematic Mapper Plus image tiled into patches.

Item URL in elib:https://elib.dlr.de/109741/
Document Type:Article
Title:Dimensionality Reduction for Visual Data Mining of Earth Observation Archives
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Griparis, AndreeaPolitehnica University of Bucharest, Bucharest, RomaniUNSPECIFIED
Faur, DanielaPolitehnica University of Bucharest, Bucharest, RomaniaUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:19 September 2016
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1109/LGRS.2016.2604919
Page Range:pp. 1701-1705
Frery, Alejandro C.acfrery@gmail.com
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:visualization, Dimensionality reduction (DR), features
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 On:22 Dec 2016 09:25
Last Modified:08 Mar 2018 18:31

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