URI | http://purl.tuc.gr/dl/dias/C062872A-3DFD-4A82-A35D-08D34FDCD9CE | - |
Αναγνωριστικό | https://doi.org/10.3390/s19051123 | - |
Αναγνωριστικό | https://www.mdpi.com/1424-8220/19/5/1123 | - |
Γλώσσα | en | - |
Μέγεθος | 18 pages | en |
Τίτλος | A SIFT-based DEM extraction approach using GEOEYE-1 satellite stereo pairs | en |
Δημιουργός | Daliakopoulos Ioannis | en |
Δημιουργός | Δαλιακοπουλος Ιωαννης | el |
Δημιουργός | Tsanis Ioannis | en |
Δημιουργός | Τσανης Ιωαννης | el |
Εκδότης | MDPI | en |
Περίληψη | A 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 |
Τύπος | Peer-Reviewed Journal Publication | en |
Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
Ημερομηνία | 2020-07-20 | - |
Ημερομηνία Δημοσίευσης | 2019 | - |
Θεματική Κατηγορία | Algorithm | en |
Θεματική Κατηγορία | Digital elevation model | en |
Θεματική Κατηγορία | RANSAC | en |
Θεματική Κατηγορία | Satellite stereo pair | en |
Θεματική Κατηγορία | SIFT | en |
Βιβλιογραφική Αναφορά | I.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/s19051123 | en |