Date of Award
4-11-2011
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Electrical Engineering
First Advisor
Richard R. Schultz
Abstract
Unmanned Aircraft Systems (UAS) can be used for tracking and surveillance by exploiting the information captured by a digital imaging payload Some of the most significant problems facing surveillance video captured by a small UAS aircraft (i.e., an airframe with a payload carrying capacity of less than 50 kilograms) include motion blur; the frame-to-frame movement induced by aircraft roll, wind gusts, and less than ideal atmospheric conditions; and the noise inherent within the image sensors. These effects have to be modeled to create a super-resolution mosaic from low-resolution UAS surveillance video frames, so that effective image analysis can be conducted. The goal of this dissertation is to perform super-resolution mosaicking of surveillance video captured by a UAS digital imaging payload, which involves recovering a high-resolution map of the region under surveillance using accurate camera and motion models with minimal computation for near-real-time operation.
Recommended Citation
Camargo, Aldo, "Super-Resolution Mosaicking From Digital Surveillance Video Captured By Unmanned Aircraft Systems (Uas)" (2011). Theses and Dissertations. 8100.
https://commons.und.edu/theses/8100