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A Clustering-Based Approach for Evaluation of EO Image Indexing, Sensors and Models in Photogrammetry and Remote Sensing

Bahmanyar, R. and Rigoll, G. and Datcu, Mihai (2013) A Clustering-Based Approach for Evaluation of EO Image Indexing, Sensors and Models in Photogrammetry and Remote Sensing. In: ISPRS Archives, XL-1 (W3), pp. 79-84. ISPRS. SMPR 2013, 5.-8. Oct. 2013, Tehran, Iran. ISBN DOI: 10.5194/isprsarchives-XL-1-W3-79-2013

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Official URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W3/79/2013/isprsarchives-XL-1-W3-79-2013.html

Abstract

The volume of Earth Observation data is increasing immensely in order of several Terabytes a day. Therefore, to explore and investigate the content of this huge amount of data, developing more sophisticated Content-Based Information Retrieval (CBIR) systems are highly demanded. These systems should be able to not only discover unknown structures behind the data, but also provide relevant results to the users’ queries. Since in any retrieval system the images are processed based on a discrete set of their features (i.e., feature descriptors), study and assessment of the structure of feature space, build by different feature descriptors, is of high importance. In this paper, we introduce a clustering-based approach to study the content of image collections. In our approach, we claim that using both internal and external evaluation of clusters for different feature descriptors, helps to understand the structure of feature space. Moreover, the semantic understanding of users about the images also can be assessed. To validate the performance of our approach, we used an annotated Synthetic Aperture Radar (SAR) image collection. Quantitative results besides the visualization of feature space demonstrate the applicability of our approach.

Item URL in elib:https://elib.dlr.de/88822/
Document Type:Conference or Workshop Item (Speech)
Title:A Clustering-Based Approach for Evaluation of EO Image Indexing, Sensors and Models in Photogrammetry and Remote Sensing
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bahmanyar, R.DLRUNSPECIFIED
Rigoll, G.University MunichUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:2013
Journal or Publication Title:ISPRS Archives
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:XL-1
Page Range:pp. 79-84
Editors:
EditorsEmail
Arefi, H.UNSPECIFIED
Sharifi, A.UNSPECIFIED
Reinartz, Peterpeter.reinartz@dlr.de
Delavar, M.R.UNSPECIFIED
Publisher:ISPRS
ISBN:DOI: 10.5194/isprsarchives-XL-1-W3-79-2013
Status:Published
Keywords:Photogrammetry, Remote Sensing
Event Title:SMPR 2013
Event Location:Tehran, Iran
Event Type:international Conference
Event Dates:5.-8. Oct. 2013
Organizer:University of Tehran
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:INVALID USER
Deposited On:11 Apr 2014 15:42
Last Modified:31 Jul 2019 19:46

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