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Interactive feature learning from SAR image patches

Babaee, Mohammadreza and Yu, Xuejie and Merget, Daniel and Babaeian, Amir and Rigoll, Gerald and Datcu, Mihai (2015) Interactive feature learning from SAR image patches. In: International Geoscience and Remote Sensing Symposium (IGARSS 2015), pp. 541-544. IEEE Xplore. IGARSS 2015, 26-31 Jul 2015, Milan, Italy. DOI: 10.1109/IGARSS.2015.7325820

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Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7325820

Abstract

Feature learning algorithms aim to provide a compact and discriminative representation of complex datasets in order to increasethe speed and accuracy of clustering or classification. In this paper, we propose a novel interactive feature learning approach which is mainly based on 3D interactive data visualization and Non-negative Matrix Factorization (NMF). Here, the data is visualized in a 3D interface to support human-data interaction. The user interactions are exploited in an NMF framework to learn a compact representation of the data. The conducted experiments on Synthetic Aperture Radar (SAR) images confirm the efficiency of the proposed approach.

Item URL in elib:https://elib.dlr.de/100254/
Document Type:Conference or Workshop Item (Poster)
Title:Interactive feature learning from SAR image patches
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Babaee, MohammadrezaTechnical University Munich, GermanyUNSPECIFIED
Yu, XuejieTechnical University Munich, GermanyUNSPECIFIED
Merget, DanielTechnical University MunichUNSPECIFIED
Babaeian, AmirUniversity of CaliforniaUNSPECIFIED
Rigoll, GeraldTU MunichUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:July 2015
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS 2015)
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2015.7325820
Page Range:pp. 541-544
Publisher:IEEE Xplore
Status:Published
Keywords:Interactive system, feature learning, SAR
Event Title:IGARSS 2015
Event Location:Milan, Italy
Event Type:international Conference
Event Dates:26-31 Jul 2015
Organizer:IEEE Geoscience and Remote Sensing Society
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: Schwarz, Gottfried
Deposited On:02 Dec 2015 09:35
Last Modified:10 May 2016 23:36

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