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 :
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