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Visual Data Mining for Feature Space Exploration using In-situ Data

Espinoza-Molina, Daniela and Alonso, Kevin and Datcu, Mihai (2016) Visual Data Mining for Feature Space Exploration using In-situ Data. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016, pp. 5905-5908. IEEE Xplore. IGARSS 2016, 10-15 Jul 2016, Beijing. DOI: 10.1109/IGARSS.2016.7730543 ISSN 2153-7003

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Official URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7592514

Abstract

In this paper, we present the visualization of image databases based on their primitive features. Our approach is to have a visual navigation tool for allowing the exploration and exploitation of large image archives. The tool is able to Project the content of a given image database based on the primitive feature space and to provide interaction between the final user and the huge amount of data. Land Use/Land Cover area frame statistical Survey in-situ data are used as test dataset. Bag-of-Words andWeber Local Descriptors are used as primitive Features.

Item URL in elib:https://elib.dlr.de/108005/
Document Type:Conference or Workshop Item (Poster)
Title:Visual Data Mining for Feature Space Exploration using In-situ Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Espinoza-Molina, Danieladaniela.espinozamolina (at) dlr.deUNSPECIFIED
Alonso, KevinKevin.AlonsoGonzalez (at) dlr.dehttps://orcid.org/0000-0003-2469-8290
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:12 July 2016
Journal or Publication Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2016.7730543
Page Range:pp. 5905-5908
Editors:
EditorsEmail
UNSPECIFIEDIEEE Org.
Publisher:IEEE Xplore
ISSN:2153-7003
Status:Published
Keywords:Visual data mining, visualization, dimensionality reduction, land cover, land use.
Event Title:IGARSS 2016
Event Location:Beijing
Event Type:international Conference
Event Dates:10-15 Jul 2016
Organizer:IEEE 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 10:16
Last Modified:18 Nov 2016 10:16

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