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Improving Semi-Global Matching: Cost aggregation and confidence measure

d'Angelo, Pablo (2016) Improving Semi-Global Matching: Cost aggregation and confidence measure. In: XXIII ISPRS Congress, Technical Commission I, XLI-B1, pp. 299-304. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. ISPRS Congress 2016, 13-19 July 2016, Prague, Czech Republic. DOI: 0.5194/isprsarchives-XLI-B1-299-2016

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Official URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/299/2016/isprs-archives-XLI-B1-299-2016.pdf


Digital elevation models are one of the basic products that can be generated from remotely sensed imagery. The Semi Global Matching (SGM) algorithm is a robust and practical algorithm for dense image matching. The connection between SGM and Belief Propagation was recently developed, and based on that improvements such as correction of over-counting the data term, and a new confidence measure have been proposed. Later the MGM algorithm has been proposed, it aims at improving the regularization step of SGM, but has only been evaluated on the Middlebury stereo benchmark so far. This paper evaluates these proposed improvements on the ISPRS satellite stereo benchmark, using a Pleiades Triplet and a Cartosat-1 Stereo pair. The over-counting correction slightly improves matching density, at the expense of adding a few outliers. The MGM cost aggregation shows leads to a slight increase of accuracy.

Item URL in elib:https://elib.dlr.de/104197/
Document Type:Conference or Workshop Item (Speech)
Title:Improving Semi-Global Matching: Cost aggregation and confidence measure
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
d'Angelo, PabloPablo.Angelo (at) dlr.deUNSPECIFIED
Date:13 July 2016
Journal or Publication Title:XXIII ISPRS Congress, Technical Commission I
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :0.5194/isprsarchives-XLI-B1-299-2016
Page Range:pp. 299-304
Publisher:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Keywords:Dense Matching, Digital Elevation Model, Stereo, Benchmark, Accuracy
Event Title:ISPRS Congress 2016
Event Location:Prague, Czech Republic
Event Type:international Conference
Event Dates:13-19 July 2016
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
Deposited By: Angelo, Dr. Pablo
Deposited On:04 May 2016 11:21
Last Modified:31 Jul 2019 20:01

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