Title :
GRANMA: Gradient Angle Model Algorithm on Wideband EMI Data for Land-Mine Detection
Author :
Ramachandran, Ganesan ; Gader, Paul D. ; Wilson, Joseph N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
fDate :
7/1/2010 12:00:00 AM
Abstract :
This letter presents a simple and fast algorithm to analyze wideband electromagnetic induction data for subsurface targets. A well-known four-parameter model is differentiated, resulting in a two-parameter model. A fast lookup table is used to find parameters as opposed to nonlinear optimization. The proposed approach provides a computationally faster way to reproduce the results of state-of-the-art methods. A detailed mathematical analysis of the model is given that describes the advantages and limitations of the proposed method.
Keywords :
electromagnetic interference; landmine detection; optimisation; GRANMA; electromagnetic induction; gradient angle model algorithm; land-mine detection; nonlinear optimization; state-of-the-art methods; two-parameter model; wideband EMI data; wideband electromagnetic induction; Argand diagram; Bell–Miller model; Cole–Cole model; electromagnetic induction (EMI); land-mine detection;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2010.2041184