語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Inverse Problems for Image Processin...
~
Basnayake, Ranil Kumara.
FindBook
Google Book
Amazon
博客來
Inverse Problems for Image Processing of Spatiotemporal Dynamical Systems.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Inverse Problems for Image Processing of Spatiotemporal Dynamical Systems./
作者:
Basnayake, Ranil Kumara.
面頁冊數:
221 p.
附註:
Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.
Contained By:
Dissertation Abstracts International76-02B(E).
標題:
Applied mathematics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3640102
ISBN:
9781321252583
Inverse Problems for Image Processing of Spatiotemporal Dynamical Systems.
Basnayake, Ranil Kumara.
Inverse Problems for Image Processing of Spatiotemporal Dynamical Systems.
- 221 p.
Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.
Thesis (Ph.D.)--Clarkson University, 2014.
Optical flow is a classical problem in computer vision which was developed to determine the rigid body motion based on observed images. These concepts must be adapted for applications to other fields such as fluid mechanics and dynamical systems. Our approaches are based on an inverse problem formulation considering the physics of the observed density evolution and imposed prior knowledge of the solution. This presents itself in the form of a cost function which is a functional. The desired solution is a velocity field which is uncovered by minimizing the specifically designed functional in each individual scenario. This leads to a practical approach to analyze an observed dynamical system. Additionally we introduce a multi-frame version of the functional coupling of multiple images. Following the calculus of variations, this yields a coupled set of Euler-Lagrange PDEs which serve as an assimilation method that inputs video frames as driving terms. In this dissertation, we are especially interested in remotely observed fluid flows on a planetary scale such as oceanography as well as weather patterns here on Earth and on Jupiter. To overcome the coriolis effects on these systems, we introduce for the first time here a new method to reconstruct velocity fields incorporating quasi-static equations. Further, we illustrate the significance of these flow fields on analysis of mixing and mass transport in the fluid system being imaged.
ISBN: 9781321252583Subjects--Topical Terms:
2122814
Applied mathematics.
Inverse Problems for Image Processing of Spatiotemporal Dynamical Systems.
LDR
:02294nmm a2200265 4500
001
2064857
005
20151123150622.5
008
170521s2014 ||||||||||||||||| ||eng d
020
$a
9781321252583
035
$a
(MiAaPQ)AAI3640102
035
$a
AAI3640102
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Basnayake, Ranil Kumara.
$3
3179494
245
1 0
$a
Inverse Problems for Image Processing of Spatiotemporal Dynamical Systems.
300
$a
221 p.
500
$a
Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.
500
$a
Adviser: Erik Bollt.
502
$a
Thesis (Ph.D.)--Clarkson University, 2014.
520
$a
Optical flow is a classical problem in computer vision which was developed to determine the rigid body motion based on observed images. These concepts must be adapted for applications to other fields such as fluid mechanics and dynamical systems. Our approaches are based on an inverse problem formulation considering the physics of the observed density evolution and imposed prior knowledge of the solution. This presents itself in the form of a cost function which is a functional. The desired solution is a velocity field which is uncovered by minimizing the specifically designed functional in each individual scenario. This leads to a practical approach to analyze an observed dynamical system. Additionally we introduce a multi-frame version of the functional coupling of multiple images. Following the calculus of variations, this yields a coupled set of Euler-Lagrange PDEs which serve as an assimilation method that inputs video frames as driving terms. In this dissertation, we are especially interested in remotely observed fluid flows on a planetary scale such as oceanography as well as weather patterns here on Earth and on Jupiter. To overcome the coriolis effects on these systems, we introduce for the first time here a new method to reconstruct velocity fields incorporating quasi-static equations. Further, we illustrate the significance of these flow fields on analysis of mixing and mass transport in the fluid system being imaged.
590
$a
School code: 0049.
650
4
$a
Applied mathematics.
$3
2122814
690
$a
0364
710
2
$a
Clarkson University.
$b
Mathematics.
$3
3179495
773
0
$t
Dissertation Abstracts International
$g
76-02B(E).
790
$a
0049
791
$a
Ph.D.
792
$a
2014
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3640102
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9297567
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入