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Evaluating the applicability of BRISK for the geometric registration of remote sensing images

Schwind, Peter and d'Angelo, Pablo (2015) Evaluating the applicability of BRISK for the geometric registration of remote sensing images. Remote Sensing Letters, 6 (9), pp. 677-686. Informa Ltd. DOI: 10.1080/2150704X.2015.1058986 ISSN 2150-704X

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Official URL: http://dx.doi.org/10.1080/2150704X.2015.1058986


Binary Robust Invariant Scalable Keypoints (BRISK) is one of several relatively new matching algorithms aiming to improve well-established algorithms such as Scale-Invariant Feature Transform (SIFT) or Speeded-Up Robust Features. A detailed evaluation of the BRISK applicability for geometric registration of remote sensing images is performed. As the original algorithm was not developed with a focus on remote sensing image matching, a practical processing chain for the image registration of a newly acquired image with a reference image was developed. This chain also includes a modified Random Sample Consensus outlier removal based on the sensor-model of the to-be-registered image. The presented methodology is evaluated and compared to the SIFT operator in terms of repeatability, accuracy, recall and precision. Our results show that BRISK performs very well on remote sensing images and together with the sensor-model-based outlier removal offers a significant improvement over existing image registration methods such as SIFT.

Item URL in elib:https://elib.dlr.de/97889/
Document Type:Article
Title:Evaluating the applicability of BRISK for the geometric registration of remote sensing images
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schwind, Peterpeter.schwind (at) dlr.deUNSPECIFIED
d'Angelo, Pablopablo.angelo (at) dlr.deUNSPECIFIED
Date:31 July 2015
Journal or Publication Title:Remote Sensing Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1080/2150704X.2015.1058986
Page Range:pp. 677-686
Publisher:Informa Ltd
Keywords:BRISK, image registration, RANSAC
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Schwind, Peter
Deposited On:18 Aug 2015 12:14
Last Modified:31 Jul 2019 19:54

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