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A SIFT-based DEM extraction approach using GEOEYE-1 satellite stereo pairs

Daliakopoulos Ioannis, Tsanis Ioannis

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URIhttp://purl.tuc.gr/dl/dias/C062872A-3DFD-4A82-A35D-08D34FDCD9CE-
Identifierhttps://doi.org/10.3390/s19051123-
Identifierhttps://www.mdpi.com/1424-8220/19/5/1123-
Languageen-
Extent18 pagesen
TitleA SIFT-based DEM extraction approach using GEOEYE-1 satellite stereo pairsen
CreatorDaliakopoulos Ioannisen
CreatorΔαλιακοπουλος Ιωαννηςel
CreatorTsanis Ioannisen
CreatorΤσανης Ιωαννηςel
PublisherMDPIen
Content SummaryA module for Very High Resolution (VHR) satellite stereo-pair imagery processing and Digital Elevation Model (DEM) extraction is presented. A large file size of VHR satellite imagery is handled using the parallel processing of cascading image tiles. The Scale-Invariant Feature Transform (SIFT) algorithm detects potentially tentative feature matches, and the resulting feature pairs are filtered using a variable distance threshold RANdom SAmple Consensus (RANSAC) algorithm. Finally, point cloud ground coordinates for DEM generation are extracted from the homologous pairs. The criteria of average point spacing irregularity is introduced to assess the effective resolution of the produced DEMs. The module is tested with a 0.5 m × 0.5 m Geoeye-1 stereo pair over the island of Crete, Greece. Sensitivity analysis determines the optimum module parameterization. The resulting 1.5-m DEM has superior detail over reference DEMs, and results in a Root Mean Square Error (RMSE) of about 1 m compared to ground truth measurements.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2020-07-20-
Date of Publication2019-
SubjectAlgorithmen
SubjectDigital elevation modelen
SubjectRANSACen
SubjectSatellite stereo pairen
SubjectSIFTen
Bibliographic CitationI.N. Daliakopoulos and I.K. Tsanis, "A SIFT-based DEM extraction approach using GEOEYE-1 satellite stereo pairs," Sensors, vol. 19, no. 5, Mar. 2019. doi: 10.3390/s19051123en

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