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dc.contributor.author
Wu, Changchang
dc.contributor.author
Fraundorfer, Friedrich
dc.contributor.author
Frahm, Jan-Michael
dc.contributor.author
Snoeyink, Jack
dc.contributor.author
Pollefeys, Marc
dc.contributor.editor
Chen, Jun
dc.contributor.editor
Jiang, Jie
dc.contributor.editor
Förstner, Wolfgang
dc.date.accessioned
2019-10-09T08:44:34Z
dc.date.available
2019-10-09T08:26:13Z
dc.date.available
2019-10-09T08:44:34Z
dc.date.issued
2008
dc.identifier.issn
1682-1750
dc.identifier.issn
2194-9034
dc.identifier.issn
1682-1777
dc.identifier.uri
http://hdl.handle.net/20.500.11850/369389
dc.identifier.doi
10.3929/ethz-b-000013926
dc.description.abstract
This paper presents a method to index ortho-map databases with image-based features and search a map database for regions that matchquery images of unknown scales and rotations. The proposed method uses image-based features to index the 2D map locations. Imagefeature extractors normally generate features with location, orientation, shape, and a descriptor for normalized image patch. In a mapdatabase, the geographical location, orientation and shape of the image features can be recovered with a reasonable local planarityassumptions. The paper makes use of a visual word based recognition scheme and extends it by adding geographical dimensions to thevisual words and use them to index 2D locations in a map grid.An indexing-friendly scoring system is defined to measure the similarityof query and database images which represent unit tiles of the complete map. The implemented scoring algorithm can efficiently givethe matching scores between a query image and all possible database images. Upon searching a new approximately orthogonal image, aset of scaling and rotations are first selected, and the visual words are transformed and matched against the database. The best locationsalong with scales and rotations are determined from the query results of the different set of transformed visual words. Experimentsshow a high success rate and high speed in searching map databases for aerial images from different datasets.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ISPRS
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.subject
orthogonal satellite imagery
en_US
dc.subject
image localization
en_US
dc.subject
content-based image retrieval
en_US
dc.subject
image feature
en_US
dc.subject
SIFT
en_US
dc.subject
visual word
en_US
dc.subject
vocabulary tree
en_US
dc.subject
map database indexing
en_US
dc.title
Image localization in satellite imagery with feature-based indexing
en_US
dc.type
Conference Paper
dc.rights.license
Creative Commons Attribution 3.0 Unported
ethz.book.title
XXIst ISPRS Congress: Technical Commission III
en_US
ethz.journal.title
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ethz.journal.volume
XXXVII Part B3a
en_US
ethz.journal.abbreviated
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.
ethz.pages.start
197
en_US
ethz.pages.end
202
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
XXIst ISPRS Congress: "Silk Road for Information from Imagery"
en_US
ethz.event.location
Beijing, China
en_US
ethz.event.date
July 3-11, 2008
en_US
ethz.publication.place
Beijing
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03766 - Pollefeys, Marc / Pollefeys, Marc
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03766 - Pollefeys, Marc / Pollefeys, Marc
ethz.relation.isPartOf
https://www.isprs.org/proceedings/XXXVII/congress/tc3a.aspx
ethz.date.deposited
2017-06-08T21:12:32Z
ethz.source
ECIT
ethz.identifier.importid
imp59364c342e82513136
ethz.identifier.importid
imp59364c417908242334
ethz.ecitpid
pub:25436
ethz.ecitpid
pub:26240
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-10-09T08:26:26Z
ethz.rosetta.lastUpdated
2019-10-09T08:44:50Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/13926
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/14587
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Image%20localization%20in%20satellite%20imagery%20with%20feature-based%20indexing&rft.jtitle=International%20Archives%20of%20the%20Photogrammetry,%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences&rft.date=2008&rft.volume=XXXVII%20Part%20B3a&rft.spage=197&rft.epage=202&rft.issn=1682-1750&2194-9034&1682-1777&rft.au=Wu,%20Changchang&Fraundorfer,%20Friedrich&Frahm,%20Jan-Michael&Snoeyink,%20Jack&Pollefeys,%20Marc&rft.genre=proceeding&rft.btitle=XXIst%20ISPRS%20Congress:%20Technical%20Commission%20III
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