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GPU-based Kernelized Locality-Sensitive Hashing for Satellite Image Retrieval

Lukac, Niko and Zalik, Borut and Cui, Shiyong and Datcu, Mihai (2015) GPU-based Kernelized Locality-Sensitive Hashing for Satellite Image Retrieval. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015, pp. 1468-1471. IEEE Xplore. IGARSS 2015, 26-31 July, Milan, Italy. DOI: 10.1109/IGARSS.2015.7326056

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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7326056

Abstract

As the data acquisition capabilities of Earth observation (EO) satellites have been improved substantially in the past few years, large amount of high-resolution satellite images are downlinked continuously to ground stations. Such amount of data increases rapidly beyond the users' capability to access the images' content in reasonable time. Hence, automatic and fast interpretation of a large data volume is a computationally intensive task. Recently, approximate nearest neigbhour search has been used for content-based image retrieval in sublinear time. Kernelized locality sensitive hashing (KLSH) is a well-known approximate method, which has recently shown promising results for fast remote sensing image retrieval. This paper proposes a novel parallelization of KLSH using Graphical Processing Units (GPU), in order to perform fast parallel image retrieval. The proposed method was tested on high-dimensional feature vectors from two satellite-based image datasets, where an average speedup of 20 times was achieved.

Item URL in elib:https://elib.dlr.de/96181/
Document Type:Conference or Workshop Item (Speech)
Title:GPU-based Kernelized Locality-Sensitive Hashing for Satellite Image Retrieval
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Lukac, Nikoniko.lukac (at) um.siUNSPECIFIED
Zalik, Borutborut.zalik (at) um.siUNSPECIFIED
Cui, ShiyongRemote Sensing Technology Institute (IMF)UNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:July 2015
Journal or Publication Title:Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2015.7326056
Page Range:pp. 1468-1471
Editors:
EditorsEmail
UNSPECIFIEDIEEE Org.
Publisher:IEEE Xplore
Status:Published
Keywords:Kernelized locality sensitive hashing (KLSH), GPU, Image Retrieval
Event Title:IGARSS 2015
Event Location:Milan, Italy
Event Type:international Conference
Event Dates:26-31 July
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: Cui, Shiyong
Deposited On:26 May 2015 10:13
Last Modified:31 Jul 2019 19:52

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