Masters Theses
Keywords and Phrases
Aerial Image Set; Image Capture And Processing; Power Supply Design; Search-And-Rescue; Target Location; Unmanned Aerial Vehicle
Abstract
"Aerial search and rescue applications using unmanned aerial vehicles (UAVs) can incorporate image processing technologies to locate targets faster and with a higher degree of accuracy. The task of developing such systems involves the development of both hardware and software components. Examples of both hardware and software approaches in the design process for an aerial imaging system are shown for small UAV applications. This project contains resources to help facilitate the incorporation of UAV applications into educational ventures and design projects. A power supply design is done for a lightweight imaging system and a large database of aerial images is assembled for image recognition development. The image set is all based in a small subset of geography, mainly lightly wooded pastureland, with a variety of lost-hiker target objects. The work describes an imaging system design, a power distribution design, target image collection and categorization, and basic image processing approaches"--Abstract, page iii.
Advisor(s)
Watkins, Steve Eugene,1960-
Committee Member(s)
Stanley, R. Joe
Zawodniok, Maciej Jan,1975-
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Electrical Engineering
Publisher
Missouri University of Science and Technology
Publication Date
2013
Pagination
xii, 102 pages
Note about bibliography
Includes bibliographical references (pages 100-101).
Rights
© 2013 David Christopher Macke Jr., All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Drone aircraft -- Search and rescue operationsAerial surveysImage processing -- Digital techniques -- Design and constructionRobots in search and rescue operations
Thesis Number
T 10848
Electronic OCLC #
953991653
Recommended Citation
Macke, David Christopher Jr., "Systems and image database resources for UAV search and rescue applications" (2013). Masters Theses. 7537.
https://scholarsmine.mst.edu/masters_theses/7537