Authors: Ioakeim Tellidis and Eugene Levin
Abstract
In recent years the developments of small electronics prototyping platforms such as Arduinos and Raspberry Pi’s, created a new whole market from electronic equipment and Ideas for various sizes projects. It didn’t pass too much time for developers to combine all these sensors and platforms and to create complete and more sophisticated navigation systems and find their way inside small remote controlled airplanes. The next step, the installation of a small digital camera it was pretty much expected due to human curiosity. The results were significantly changed the geospatial community. It was very obvious since the beginning of this technology that we had definitely find a cheap and reliable solution for aerial imaging. The necessary steps for designing and executing an aerial image acquisition mission are far from being well defined. If we isolate the involved products one by one, we would see impressive specifications: High resolution DSLR or compact cameras, navigation systems with fast CPUs, reliable GPS units and radio receivers. But when all these stuff we are combining into a UAV (Unmanned Aerial System) fuselage and you are exposing it to aerodynamic forces on an environment full of uncertain parameters like weather and atmospheric conditions then, the UAV as an imaging sensor, needs to be studied further. The overall of our research is to establish the necessary steps for preparing and executing photogrammetric aerial image acquisition. The final products should be vertical or near vertical well defined images with known exterior orientation, high resolution with small GSD and with adequate sidelap and endlap for supporting stereo vision.
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