关键词: |
Aircraft equipment, Airframes, Flight paths, Graphics, Lidar, Point clouds, Reconnaissance, United states, Virtual reality, Accuracy, Computer vision, Tanker aircraft, Cameras, Detection, Fixed wing aircraft, Intelligence collection, Air force, Detectors, Aircrafts, Unmanned aerial vehicles, Structure from motion; modeling and simulation; geoaccuracy; intelligence, Surveillance, And reconnaissance; unmanned aerial vehicle |
摘要: |
Modern militaries rely upon remote image sensors for real-time intelligence. A typical remote system consists of an unmanned aerial vehicle, or UAV, with an attached camera. A video stream is sent from the UAV, through a bandwidth-constrained satellite connection, to an intelligence processing unit. In this research, an upgrade to this method of collection is proposed. A set of synthetic images of a scene captured by a UAV in a virtual environment is sent to a pipeline of computer vision algorithms, collectively known as Structure from Motion. The output of Structure from Motion, a three-dimensional model, is then assessed in a 3D virtual world as a possible replacement for the images from which it was created. This study shows Structure from Motion results from a modifiable spiral flight path and compares the geoaccuracy of each result. A flattening of height is observed, and an automated compensation for this flattening is performed. Each reconstruction is also compressed, and the size of the compression is compared with the compressed size of the images from which it was created. A reduction of 49-60 of required space is shown. |