Detection of Underground Object Using Ground Penetrating Radar

This paper presents the applications for the detection of buried Improvised Explosive Devices (IEDs) and buried fusing mechanisms for the sake of national security. The instrument is used for the erection of buried images in Ground Penetrating Radar. The identified underground objects like skeletons...

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Bibliographic Details
Main Authors: David William Raj, L., Banerjee, Utsab, Thilagaraj, M., Suganya, A., Ramani, U., Ganesh, C.
Format: Conference Proceeding
Language:English
Subjects:
Curve Fitting
Gaussian Filter
Ground penetrating radar
Impurities
Mean and Clutter Removal
Neural networks
Object recognition
Parallel processing
Radar imaging
Skeleton
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Summary:This paper presents the applications for the detection of buried Improvised Explosive Devices (IEDs) and buried fusing mechanisms for the sake of national security. The instrument is used for the erection of buried images in Ground Penetrating Radar. The identified underground objects like skeletons, treasure, cables, mines etc. are potentially measured. During the collection of Ground Penetrating Radar raw images, the unwanted impurities, or elements such as noise and clutter are obtained. Raw images are also called B-Scan images, where the sampling rate is 8+ frames per seconds. The immense data for the pre-processing techniques has been preferred. The underground radar image signalized by the hyperbola which is reflected from the underground objects. The focused work is to clarify the interpretation of hyperbolic pattern present in Ground Penetrating Radar data and the curve fitting and the neural networks techniques are used to evaluate the position of the object.
ISSN:2575-7288
DOI:10.1109/ICACCS57279.2023.10112808