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Title: High resolution image processing of geophysical data with diffraction tomography

Conference ·
OSTI ID:10149023
 [1];  [2];  [3]
  1. Oak Ridge National Lab., TN (United States)
  2. Dept. of Geography and Environmental Engineering, Military Academy, West Point, NY (United States)
  3. Environmental Protection Agency, Chicago, IL (United States). Region V

This paper presents a method of detection and imaging that has as its input the data collected from the most commonly employed geophysical tools, applies the Generalized Projection Slice Theorem (GPST) in the analysis of these data to yield results ranging from greatly improved detection to high resolution images of subsurface features and buried objects. Detection capability can be greatly enhanced by incorporating this more rigorous signal processing procedure into the statistically based maximum likelihood estimator. The paper includes a theoretical development of the new signal processing procedures, results from the implementation of the theory with a number of commonly used geophysical tools, including a presentation of the improved capability for tunnel detection and location estimation and detection of buried ordnance. High resolution imaging of a variety of buried wastes has already been achieved through the application of geophysical diffraction tomography, a method that fully exploits the principles of the GPST.

Research Organization:
Oak Ridge National Lab., TN (United States)
Sponsoring Organization:
USDOE, Washington, DC (United States)
DOE Contract Number:
AC05-84OR21400
OSTI ID:
10149023
Report Number(s):
CONF-9206171-1; ON: DE92014134
Resource Relation:
Conference: Army science conference,Orlando, FL (United States),22-25 Jun 1992; Other Information: PBD: [1992]
Country of Publication:
United States
Language:
English