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Applicability of the SIFT operator to geometric SAR image registration

Schwind, Peter and Suri, Sahil and Reinartz, Peter and Siebert, Andreas (2010) Applicability of the SIFT operator to geometric SAR image registration. International Journal of Remote Sensing, 31 (8), pp. 1959-1980. Taylor & Francis. DOI: 10.1080/01431160902927622 ISSN 0143-1161

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Official URL: http://dx.doi.org/10.1080/01431160902927622

Abstract

The SIFT operator’s success for computer vision applications makes it an attractive alternative to the intricate feature based SAR image registration problem. The SIFT operator processing chain is capable of detecting and matching scale and affine invariant features. For SAR images, the operator is expected to detect stable features at lower scales where speckle influence diminishes. To adapt the operator performance to SAR images we analyse the impact of image filtering and of skipping features detected at the highest scales. We present our analysis based on multisensor, multitemporal and different viewpoint SAR images. The operator shows potential to become a robust alternative for point feature based registration of SAR images as subpixel registration consistency was achieved for most of the tested datasets. Our findings indicate that operator performance in terms of repeatability and matching capability is affected by an increase in acquisition differences within the imagery. We also show that the proposed adaptations result in a significant speed-up compared to the original SIFT operator.

Item URL in elib:https://elib.dlr.de/64022/
Document Type:Article
Title:Applicability of the SIFT operator to geometric SAR image registration
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schwind, Peterpeter.schwind (at) dlr.deUNSPECIFIED
Suri, SahilSahil.Suri (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Siebert, AndreasFH LandshutUNSPECIFIED
Date:April 2010
Journal or Publication Title:International Journal of Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:31
DOI :10.1080/01431160902927622
Page Range:pp. 1959-1980
Publisher:Taylor & Francis
ISSN:0143-1161
Status:Published
Keywords:image registration, SAR, SIFT
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Photogrammetrie und Bildanalyse (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Schwind, Peter
Deposited On:30 Apr 2010 07:04
Last Modified:26 Mar 2013 13:16

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