التفاصيل البيبلوغرافية
| العنوان: |
Assessing the Accuracy of Digital Surface Models Derived from Optical Imagery Acquired with Unmanned Aerial Systems |
| المؤلفون: |
Salvatore Manfreda, Petr Dvorak, Jana Mullerova, Sorin Herban, Pietro Vuono, José Arranz Justel, Matthew Perks |
| المصدر: |
Drones; Volume 3; Issue 1; Pages: 15 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2019 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
topographic surveys, planar and vertical precision, unmanned aerial systems (UASs), digital surface models (DSMs) |
| الوصف: |
Small unmanned aerial systems (UASs) equipped with an optical camera are a cost-effective strategy for topographic surveys. These low-cost UASs can provide useful information for three-dimensional (3D) reconstruction even if they are equipped with a low-quality navigation system. To ensure the production of high-quality topographic models, careful consideration of the flight mode and proper distribution of ground control points are required. To this end, a commercial UAS was adopted to monitor a small earthen dam using different combinations of flight configurations and by adopting a variable number of ground control points (GCPs). The results highlight that optimization of both the choice and combination of flight plans can reduce the relative error of the 3D model to within two meters without the need to include GCPs. However, the use of GCPs greatly improved the quality of the topographic survey, reducing error to the order of a few centimeters. The combined use of images extracted from two flights, one with a camera mounted at nadir and the second with a 20° angle, was found to be beneficial for increasing the overall accuracy of the 3D model and especially the vertical precision. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
https://dx.doi.org/10.3390/drones3010015Test |
| DOI: |
10.3390/drones3010015 |
| الإتاحة: |
https://doi.org/10.3390/drones3010015Test |
| حقوق: |
https://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: |
edsbas.CFCCFD84 |
| قاعدة البيانات: |
BASE |
