Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

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

Daliakopoulos Ioannis, Tsanis Ioannis

Full record


URI: http://purl.tuc.gr/dl/dias/C062872A-3DFD-4A82-A35D-08D34FDCD9CE
Year 2019
Type of Item Peer-Reviewed Journal Publication
License
Details
Bibliographic Citation 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 https://doi.org/10.3390/s19051123
Appears in Collections

Summary

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.

Available Files

Services

Statistics