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A Comparative Study of Bag-of-Words and Bag-of-Topics Models of EO Image Patches

Bahmanyar, Reza and Cui, Shiyong and Datcu, Mihai (2015) A Comparative Study of Bag-of-Words and Bag-of-Topics Models of EO Image Patches. IEEE Geoscience and Remote Sensing Letters, 12 (6), pp. 1357-1361. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/LGRS.2015.2402391 ISBN 1545-598X ISSN 1545-598X

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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7050352&sortType%3Dasc_p_Sequence%26filter%3DAND(p_Publication_Number%3A8859)%26rowsPerPage%3D100


The large volume of detailed land cover features, provided by high resolution Earth observation (EO) images, has attracted considerable interest in the discovery of these features by learning systems. In this letter, we perform latent Dirichlet allocation on the bag of words (BoW) representation of collections of EO image patches to discover their semantic-level features, the so-called topics. To assess the discovered topics, the images are represented based on the occurrence of different topics, called bag of topics (BoT). The value added by BoT to the BoW model of image patches is then measured based on existing human annotations of the data. In our experiments, we compare the classification accuracy results of BoT and BoW representations of two different remote sensing image data sets, a multispectral optical data set and a synthetic-aperture-radar data set. Experimental results demonstrate that BoT can provide a compact and semantically meaningful representation of data; it either causes no significant reduction in the classification accuracy or increases the accuracy by a sufficient number of topics.

Item URL in elib:https://elib.dlr.de/96441/
Document Type:Article
Title:A Comparative Study of Bag-of-Words and Bag-of-Topics Models of EO Image Patches
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bahmanyar, Rezagholamreza.bahmanyar (at) dlr.deUNSPECIFIED
Cui, ShiyongRemote Sensing Technology Institute (IMF)UNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:June 2015
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1109/LGRS.2015.2402391
Page Range:pp. 1357-1361
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Bag-of-Words, Earth Observation, Latent Dirichlet Allocation, SAR image
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: Bahmanyar, Gholamreza
Deposited On:28 May 2015 15:26
Last Modified:31 Jul 2019 19:53

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