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Image focusing and data compression ...

Portniaguine, Oleg Nikolaevich.

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Image focusing and data compression in the solution of geophysical inverse problems.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Image focusing and data compression in the solution of geophysical inverse problems./
作者:	Portniaguine, Oleg Nikolaevich.
面頁冊數:	116 p.
附註:	Adviser: M. S. Zhdanov.
Contained By:	Dissertation Abstracts International60-06B.
標題:	Geophysics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9935111
ISBN:	9780599359383

Image focusing and data compression in the solution of geophysical inverse problems.
Portniaguine, Oleg Nikolaevich.

Image focusing and data compression in the solution of geophysical inverse problems. - 116 p.

Adviser: M. S. Zhdanov.

Thesis (Ph.D.)--The University of Utah, 1999.

One of the critical problems in the inversion of geophysical data is developing a stable solution which at the same time can resolve complicated geological structures. The traditional way to obtain a stable solution is based on the criterion of maximum smoothness. This approach, however, provides smoothed "unfocused" images of real geological structures. In this dissertation we develop a new technique to solve this problem, which we call focusing of inversion images. It is based on specially selected stabilizing functionals which minimize the area where strong model parameter variations and discontinuity occur. We demonstrate that focusing inversion generates more focused and clearer images for geological structures than regularization based on conventional maximum smoothness or total variation (TV) functionals.

ISBN: 9780599359383Subjects--Topical Terms:

535228
Geophysics.

Image focusing and data compression in the solution of geophysical inverse problems.
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100 1 $a Portniaguine, Oleg Nikolaevich. $3 1288575
245 1 0 $a Image focusing and data compression in the solution of geophysical inverse problems.
300 $a 116 p.
500 $a Adviser: M. S. Zhdanov.
500 $a Source: Dissertation Abstracts International, Volume: 60-06, Section: B, page: 2578.
502 $a Thesis (Ph.D.)--The University of Utah, 1999.
520 $a One of the critical problems in the inversion of geophysical data is developing a stable solution which at the same time can resolve complicated geological structures. The traditional way to obtain a stable solution is based on the criterion of maximum smoothness. This approach, however, provides smoothed "unfocused" images of real geological structures. In this dissertation we develop a new technique to solve this problem, which we call focusing of inversion images. It is based on specially selected stabilizing functionals which minimize the area where strong model parameter variations and discontinuity occur. We demonstrate that focusing inversion generates more focused and clearer images for geological structures than regularization based on conventional maximum smoothness or total variation (TV) functionals.
520 $a Numerical solution of 3-D (three-dimensional) inverse problems also requires fast computer speed and large memory resources. We present a new technique for inverse problem solution which reduces computing power requirements by orders of magnitude. This technique is based on the idea of data compression, which is widely used in the telecommunications industry to reduce the amount of transmitted data. We use compression with an interpolation pyramid in the inverse problem solution. This method produces up to 30-fold reduction in memory and execution time in the solution of a typical 3-D geophysical inverse problem.
520 $a We develop numerical algorithms and computer codes to apply image focusing and compression to interpretation of 3-D gravity and 3-D electromagnetic (EM) data. Our discussion is illustrated with comprehensive numerical examples and 3-D inversion of real gravity and EM data.
590 $a School code: 0240.
650 4 $a Geophysics. $3 535228
690 $a 0373
710 2 0 $a The University of Utah. $3 1017410
773 0 $t Dissertation Abstracts International $g 60-06B.
790 $a 0240
790 1 0 $a Zhdanov, M. S., $e advisor
791 $a Ph.D.
792 $a 1999
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