Details

Autor(en) / Beteiligte

• Rezaldi, Muhammad Yudhi
• Yoganingrum, Ambar
• Prasetyadi, Abdurrakhman
• Hanifa, Nuraini Rahma
• Suhud, Ridwan
• Yulianto, Eko
• Windupranata, Wiwin
• Shomim, Achmad Fakhrus

Titel

Improving the Quality of 3D Orthomosaic Images by Increasing Close Range Photogrammetry (CRP) and Data Processing

Ist Teil von

• 2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA), 2023, p.49-53

Ort / Verlag

IEEE

Erscheinungsjahr

2023

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• This study improves the quality of 3D orthomosaic images to meet the requirements of generating virtual reality tsunamis. We correct ground control points (GCP), fly drones at lower altitudes, use close range photogrammetry (CRP) techniques, and set double grid missions, orbit missions, and cylinder missions. In addition, we use certain camera parameters such as white balance (WB) and exposure compensation value (EV) with a zoomed in drone photo feed. We also explore the methods of processing aerial photo data. The results showed that the image quality and orthomosaic 3D textures were better than the results of the previous studies.