DocumentCode
1749949
Title
Novel inverse methods in land mine imaging
Author
Weldon, Thomas P. ; Gryazin, Yuriy A. ; Klibanov, Michael V.
Author_Institution
Dept. of Electr. & Comput. Eng., North Carolina Univ., Charlotte, NC, USA
Volume
3
fYear
2001
fDate
2001
Firstpage
1897
Abstract
The imaging of buried land mines continues to present significant signal-processing challenges in the development of inverse methods for the detection of plastic mines buried in soil. To address this difficult problem, mathematical advances in the development of the elliptic systems method are used to generate images of the buried land mines. The-proposed approach adapts earlier methods, successfully applied in laser tomography of breast tumors using the diffusion equation, to the present problem of land mine imaging using the Helmholtz equation. The images generated by the new method represent electromagnetic properties of underground regions, providing effective differentiation of plastic land mines from surrounding soil. Experimental results are presented to demonstrate the new method
Keywords
Helmholtz equations; buried object detection; electromagnetic wave scattering; integro-differential equations; inverse problems; radar imaging; soil; Helmholtz equation; breast tumors; buried land mines; diffusion equation; electromagnetic properties; elliptic systems method; integro-differential equation; inverse methods; land mine imaging; laser tomography; plastic mines; scattering problem solution; signal processing; soil; underground regions; Ground penetrating radar; Image generation; Integral equations; Inverse problems; Landmine detection; Plastics; Radar signal processing; Signal processing; Soil; Tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location
Salt Lake City, UT
ISSN
1520-6149
Print_ISBN
0-7803-7041-4
Type
conf
DOI
10.1109/ICASSP.2001.941315
Filename
941315
Link To Document