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A New Paradigm for Matching UAV- and Aerial Images

Koch, Tobias and Zhuo, Xiangyu and Reinartz, Peter and Fraundorfer, Friedrich (2016) A New Paradigm for Matching UAV- and Aerial Images. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016, III-3, pp. 83-90. Copernicus Publications. ISPRS Congress, 12.-19. Juli 2016, Prag, Tschechien. DOI: 10.5194/isprsannals-III-3-83-2016

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Official URL: http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-3/83/2016/

Abstract

This paper investigates the performance of SIFT-based image matching regarding large differences in image scaling and rotation, as this is usually the case when trying to match images captured from UAVs and airplanes. This task represents an essential step for image registration and 3d-reconstruction applications. Various real world examples presented in this paper show that SIFT, as well as A-SIFT perform poorly or even fail in this matching scenario. Even if the scale difference in the images is known and eliminated beforehand, the matching performance suffers from too few feature point detections, ambiguous feature Point orientations and rejection of many correct matches when applying the ratio-test afterwards. Therefore, a new feature matching method is provided that overcomes these problems and offers thousands of matches by a novel feature point detection strategy, applying a one-to-many matching scheme and substitute the ratio-test by adding geometric constraints to achieve geometric correct matches at repetitive image regions. This method is designed for matching almost nadir-directed images with low scene depth, as this is typical in UAV and aerial image matching scenarios. We tested the proposed method on different real world image pairs. While standard SIFT failed for most of the datasets, plenty of geometrical correct matches could be found using our approach. Comparing the estimated fundamental matrices and homographies with ground-truth solutions, mean errors of few pixels can be achieved.

Item URL in elib:https://elib.dlr.de/104777/
Document Type:Conference or Workshop Item (Speech)
Title:A New Paradigm for Matching UAV- and Aerial Images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Koch, Tobiastobias.koch (at) tum.deUNSPECIFIED
Zhuo, Xiangyuxiangyu.zhuo (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Fraundorfer, Friedrichfriedrich.fraundorfer (at) dlr.deUNSPECIFIED
Date:2016
Journal or Publication Title:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:III-3
DOI :10.5194/isprsannals-III-3-83-2016
Page Range:pp. 83-90
Editors:
EditorsEmail
Halounova, L.UNSPECIFIED
Schindler, KonradRTH Zürich, Switzerland
Limpouch, A.UNSPECIFIED
Pajdla, P.UNSPECIFIED
Šafář, V.UNSPECIFIED
Mayer, HelmutBundeswehr University Munich, Germany
Oude Elberink, S.University of Twente, the Netherlands
Mallet, ClémentUniversité Paris-Est, France
Rottensteiner, F.Leibniz Universität Hannover, Germany
Brédif, M.Université Paris-Est, France
Skaloud, J.EPFL, Switzerland
Stilla, U.TU Munich, Germany
Publisher:Copernicus Publications
Status:Published
Keywords:Image matching, Feature-based matching, Image registration, Geo-registration, 3D Reconstruction, Navigation, SIFT, A-SIFT
Event Title:ISPRS Congress
Event Location:Prag, Tschechien
Event Type:international Conference
Event Dates:12.-19. Juli 2016
Organizer:ISPRS
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:INVALID USER
Deposited On:04 Jul 2016 12:57
Last Modified:31 Jul 2019 20:02

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