Development of Adaptive Threshold and Data Smoothening Algorithm for GPR Imaging

  • Prabhat Sharma DRDO-Instrument Research and Development Establishment, Dehradun – 248 008
  • Bambam Kumar Department of Electronics and Communication Engineering, Indian Institute of Technology, Roorkee - 247 667
  • Dharmendra Singh Department of Electronics and Communication Engineering, Indian Institute of Technology, Roorkee - 247 667
Keywords: GPR, Normal random variable, Variance, Adaptive threshold, Smoothenting

Abstract

There are many approaches available to separate the background and foreground in image processing applications. Currently, researchers are focusing on wavelet De-noising, curvelet threshold, Edge Histogram Descriptor threshold, Otsu thresholding, recursive thresholding and adaptive progressive thresholding. In fixed and predictable background conditions, above techniques separate background and foreground efficiently. In a common scenario, background reference is blind due to soil surface moisture content and its non-linearity. There are many methodologies proposed from time to time by researchers to solve this blind reference background separation. But challenges still now remain, because there are two major problems in ground penetrating radar imaging such as targets like ground enhances the false alarm and non-metallic target detection, where the threshold decision is a critical task. In this paper, a novel real time blind adaptive threshold algorithm is proposed for ground penetrating radar image processing. The blind threshold was decided to use normal random variable variance and image data variance. Further, the image was smoothened by random variance ratio to image data variance. Experimental results showed satisfactory results for the background separation and smoothening the targeted image data with the proposed algorithm.

Author Biographies

Prabhat Sharma, DRDO-Instrument Research and Development Establishment, Dehradun – 248 008
Mr Prabhat Sharma, received his BE from Govt. Engineering College Kota (Rajasthan Technical University, Kota), in 2000 and received his MTech from Indian Institute of Technology, Delhi, in 2011. Presently, he is working as a scientist in Instrument Research and Development Establishment, Dehradun and pursuing his PhD in the Department of Electronics and Communication Engineering at Indian Institute of Technology, Roorkee. His research interest include: RF signal processing, remote sensing and laser range sensor.
Bambam Kumar, Department of Electronics and Communication Engineering, Indian Institute of Technology, Roorkee - 247 667
Mr Bambam Kumar received his MTech in Integrated Electronics and Circuits from Indian Institute of Technology, Delhi in 2011 and pursuing the PhD in hidden object detection through Microwave and MMW imaging at the Indian Institute of Technology Roorkee (IIT Roorkee), Roorkee, India. He possesses more than 6 years of experience in teaching. He has received the Young Scientist award 2016 organised by UCOST, Uttarakhand. His research interests include : RF and microwave engineering, microwave and MMW imaging, and electromagnetic.
Dharmendra Singh, Department of Electronics and Communication Engineering, Indian Institute of Technology, Roorkee - 247 667
Dr Dharmendra Singh, received the PhD in Electronics Engineering from Banaras Hindu University, Varanasi, India. Currently working as a Professor with the Department of Electronics and Communication Engineering, IIT Roorkee, Roorkee, and a Coordinator of the RAILTEL IIT Roorkee Center of Excellence in Telecom, Roorkee. He has authored or co-authored over300 papers in various national/international journals and conferences. His main research interests include:
Microwave remote sensing, electromagnetic wave interaction with various media, polarimetric and interferometric applications of microwave data, numerical modelling, ground penetrating radar, and through-wall imaging.
Published
2018-04-16
How to Cite
Sharma, P., Kumar, B., & Singh, D. (2018). Development of Adaptive Threshold and Data Smoothening Algorithm for GPR Imaging. Defence Science Journal, 68(3), 316-325. https://doi.org/10.14429/dsj.68.12354
Section
Electronics & Communication Systems