Open AccessImage Mosaicking Using Low-Distance High-Resolution Images Captured by an Unmanned Aerial Vehicle
Author(s) -
Faez M. Hassan,
Hussein Abdelwahab Mossa
Publication year - 2021
Publication title -
international journal of informatics, information system and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2810-0670
pISSN - 2775-5584
DOI - 10.34010/injiiscom.v2i2.6668
Subject(s) - autopilot , computer science , remote sensing , orthophoto , computer vision , digital elevation model , digital mapping , artificial intelligence , image resolution , digital camera , image processing , geography , image (mathematics) , engineering , control engineering
Regional surveys will have a high demand for coverage. To adequately cover a large area while retaining high resolution, mosaics of the area from a variety of scenes can be created. This paper describes a mosaicking procedure that consists of a series of processing steps used to combine multiple aerial images. These images were taken from CropCam unmanned aerial platform flight missions over the desired area to quickly map a large geographical region. The results of periodic processing can be compared and analyzed to monitor a large area for future research or during an emergency situation in the covered area. Digital imagery captured from the air has proven to be a valuable resource for studying land cover and land use. For this study, airborne digital camera images were chosen because they provide data with a higher spatial resolution for trying to map a small research area. On board the UAV autopilot, images were captured from an elevation of 320 meters using a standard digital camera. When compared to other airborne studies, this technique was less expensive and more cost effective. According to this study, onboard a UAV autopilot, a digital camera serves as a sensor, which can be helpful in planning and developing a limited coverage area after mosaicking