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DSM Accuracy Evaluation for the ISPRS Commission I Image matching Benchmark

Kuschk, Gerorg and d'Angelo, Pablo and Qin, Rongjun and Poli, Daniela and Reinartz, Peter and Cremers, Daniel (2014) DSM Accuracy Evaluation for the ISPRS Commission I Image matching Benchmark. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-1, pp. 195-200. Copernicus Publications. ISPRS Technical Commission I Symposium, Denver, Colorado, USA, 17 – 20 November 2014. DOI: 10.5194/isprsarchives-XL-1-195-2014

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Official URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1/195/2014/isprsarchives-XL-1-195-2014.pdf


sensing community, the Working Group 4 of Commission I: Geometric and Radiometric Modeling of Optical Airborne and Spaceborne Sensors provides on its website http://www2.isprs.org/commissions/comm1/wg4/benchmark-test.html a benchmark dataset for measuring and comparing the accuracy of dense stereo algorithms. The data provided consists of several optical spaceborne stereo images together with ground truth data produced by aerial laser scanning. In this paper we present our latest work on this benchmark, based upon previous work. As a first point, we noticed that providing the abovementioned test data as geo-referenced satellite images together with their corresponding RPC camera model seems too high a burden for being used widely by other researchers, as a considerable effort still has to be made to integrate the test datas camera model into the researchers local stereo reconstruction framework. To bypass this problem, we now also provide additional rectified input images, which enable stereo algorithms to work out of the box without the need for implementing special camera models. Care was taken to minimize the errors resulting from the rectification transformation and the involved image resampling. We further improved the robustness of the evaluation method against errors in the orientation of the satellite images (with respect to the LiDAR ground truth). To this end we implemented a point cloud alignment of the DSM and the LiDAR reference points using an Iterative Closest Point (ICP) algorithm and an estimation of the best fitting transformation. This way, we concentrate on the errors from the stereo reconstruction and make sure that the result is not biased by errors in the absolute orientation of the satellite images. The evaluation of the stereo algorithms is done by triangulating the resulting (filled) DSMs and computing for each LiDAR point the nearest Euclidean distance to the DSM surface. We implemented an adaptive triangulation method minimizing the second order derivative of the surface in a local neighborhood, which captures the real surface more accurate than a fixed triangulation. As a further advantage, using our point-to-surface evaluation, we are also able to evaluate non-uniformly sampled DSMs or triangulated 3D models in general. The latter is for example needed when evaluating building extraction and data reduction algorithms. As practical example we compare results from three different matching methods applied to the data available within the benchmark data sets. These results are analyzed using the above mentioned methodology and show advantages and disadvantages of the different methods, also depending on the land cover classes.

Item URL in elib:https://elib.dlr.de/92800/
Document Type:Conference or Workshop Item (Speech)
Title:DSM Accuracy Evaluation for the ISPRS Commission I Image matching Benchmark
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Kuschk, Gerorggeorg.kuschk (at) dlr.deUNSPECIFIED
d'Angelo, Pablopablo.angelo (at) dlr.deUNSPECIFIED
Qin, RongjunSingapore ETH Center, Future Cities Laboratory, SingaporeUNSPECIFIED
Poli, DanielaTerra Messflug GmbH, AustriaUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Cremers, DanielTUM, GermanyUNSPECIFIED
Date:November 2014
Journal or Publication Title:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.5194/isprsarchives-XL-1-195-2014
Page Range:pp. 195-200
Publisher:Copernicus Publications
Keywords:3D Stereo Reconstruction, DEM/DSM, Matching, Accuracy, Benchmark
Event Title:ISPRS Technical Commission I Symposium
Event Location:17 – 20 November 2014
Event Type:international Conference
Event Dates:Denver, Colorado, USA
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 On:02 Dec 2014 13:20
Last Modified:31 Jul 2019 19:49

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