CLEAN Technique to Classify and Detect Objects in Subsurface Imaging
An image domain CLEAN technique, for nondestructive and noncontacting subsurface imaging, is discussed. Recently introduced finite-difference time-domain- (FDTD-) based virtual tool, GrGPR, is used to create imaging scenarios and to generate synthetic scattering data through synthetic aperture (SAR)...
Main Author: | E. Karpat |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2012-01-01
|
Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2012/917248 |
Similar Items
-
A Two Dimensional FDTD-Based Subsurface Imaging Simulation Tool
by: Esin KARPAT, et al.
Published: (2011-04-01) -
Simulation of subsurface imaging for remote sensing and buried object detection from airborne platforms
by: R Kedzierawski, et al.
Published: (2019-01-01) -
Detecting and Classifying Defects for aluminum foil by Image Processing Techniques
by: Chan-Phon Kou, et al.
Published: (1999) -
Realistic Subsurface Anomaly Discrimination Using Electromagnetic Induction and an SVM Classifier
by: Pablo Fernández Juan, et al.
Published: (2010-01-01) -
Realistic Subsurface Anomaly Discrimination Using Electromagnetic Induction and an SVM Classifier
by: Kevin O'Neill, et al.
Published: (2010-01-01)