Accuracy Assessment of DEM from UAV and TanDEM-X Imagery
| Autor: | Nur Amalina Razali, Noradila Rusli, M. Rafee Majid, Nur Fatma Fadilah Yaacob |
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| Rok vydání: | 2019 |
| Předmět: |
Mean squared error
Computer science business.industry Automatic identification and data capture 0211 other engineering and technologies Triangulation (social science) 02 engineering and technology Common method 010402 general chemistry 01 natural sciences 0104 chemical sciences Software Elevation data Satellite business Digital elevation model 021101 geological & geomatics engineering Remote sensing |
| Zdroj: | 2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA). |
| DOI: | 10.1109/cspa.2019.8696088 |
| Popis: | Digital Elevation Model (DEM) is now becoming a common method for modelling the earth surface for various purposes. It is becoming more so with the widespread use of Unmanned Aerial Vehicle (UAV) for data capture. With a similar purpose to the use of UAV, TanDEM-X satellite images are also able to capture the information about the earth surface. It would therefore be interesting to compare the accuracies of both methods and that became the aim of this paper. The DEM from UAV was generated using Agisoft PhotoScan software. Using ArcGIS, the study made the comparison based on the elevation data extracted from verification points and structure of Triangulation Irregular Network (TIN). The result showed that the DEM extracted using UAV had a better accuracy compared to TanDEM-X product. Expectedly, both are positively correlated with R2 = 0.7992 and therefore both can be used with reliable accuracy. |
| Databáze: | OpenAIRE |
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