東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Image Super-Resolution Enhancements ...

Woods, Matthew.

Linked to FindBook

Google Book

Amazon

博客來

Image Super-Resolution Enhancements for Airborne Sensors.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Image Super-Resolution Enhancements for Airborne Sensors./
Author:	Woods, Matthew.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	222 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.
Contained By:	Dissertation Abstracts International78-05B(E).
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10193209
ISBN:	9781369447750

Image Super-Resolution Enhancements for Airborne Sensors.
Woods, Matthew.

Image Super-Resolution Enhancements for Airborne Sensors. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 222 p.

Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.

Thesis (Ph.D.)--Northwestern University, 2016.

This thesis discusses the application of advanced digital signal and image processing techniques, particularly the technique known as super-resolution (SR), to enhance the imagery produced by cameras mounted on an airborne platform such as an unmanned aircraft system (UAS). SR is an image processing technology applicable to any digital, pixilated camera that is physically limited by construction to sample a scene with a discrete, m x n pixel array. The straightforward objective of SR is to utilize mathematics and signal processing to overcome this physical limitation of the m x n array and emulate the "capabilities" of a camera with a higher-density, km x kn (k> 1) pixel array. The exact meaning of "capabilities", in the preceding sentence, is application dependent.

ISBN: 9781369447750Subjects--Topical Terms:

523869
Computer science.

Image Super-Resolution Enhancements for Airborne Sensors.
LDR:02644nmm a2200301 4500 001 2122287
005 20170912094019.5
008 180830s2016 ||||||||||||||||| ||eng d
020 $a 9781369447750
035 $a (MiAaPQ)AAI10193209
035 $a AAI10193209
040 $a MiAaPQ $c MiAaPQ
100 1 $a Woods, Matthew. $3 1298335
245 1 0 $a Image Super-Resolution Enhancements for Airborne Sensors.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 222 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.
500 $a Adviser: Aggelos K. Katsaggelos.
502 $a Thesis (Ph.D.)--Northwestern University, 2016.
520 $a This thesis discusses the application of advanced digital signal and image processing techniques, particularly the technique known as super-resolution (SR), to enhance the imagery produced by cameras mounted on an airborne platform such as an unmanned aircraft system (UAS). SR is an image processing technology applicable to any digital, pixilated camera that is physically limited by construction to sample a scene with a discrete, m x n pixel array. The straightforward objective of SR is to utilize mathematics and signal processing to overcome this physical limitation of the m x n array and emulate the "capabilities" of a camera with a higher-density, km x kn (k> 1) pixel array. The exact meaning of "capabilities", in the preceding sentence, is application dependent.
520 $a SR is a well-studied field starting with the seminal 1984 paper by Huang and Tsai. Since that time, a multitude of papers, books, and software solutions have been written and published on the subject. However, although sharing many common aspects, the application to imaging systems on airborne platforms brings forth a number of unique challenges as well as opportunities that are neither currently addressed nor currently exploited by the state-of-the-art. These include wide field-of-view imagery, optical distortion, oblique viewing geometries, spectral variety from the visible band through the infrared, constant ego-motion, and availability of supplementary information from inertial measurement sensors. Our primary objective in this thesis is to extend the field of SR by addressing these areas. In our research experiments, we make significant use of both simulated imagery as well as real video collected from a number of flying platforms.
590 $a School code: 0163.
650 4 $a Computer science. $3 523869
650 4 $a Electrical engineering. $3 649834
690 $a 0984
690 $a 0544
710 2 $a Northwestern University. $b Electrical and Computer Engineering. $3 1022291
773 0 $t Dissertation Abstracts International $g 78-05B(E).
790 $a 0163
791 $a Ph.D.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10193209