Ground‐penetrating radar multi‐frequency tomography: A new approach of radar data processing

2000 ◽  
Author(s):  
Fabrice Hollender ◽  
Sylvie Tillard
Keyword(s):  
Data Processing ◽  
Ground Penetrating Radar ◽  
Radar Data ◽  
New Approach ◽  
Ground Penetrating ◽  
Radar Data Processing

scholarly journals Imaging of Scarce Archaeological Remains Using Microwave Tomographic Depictions of Ground Penetrating Radar Data

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Francesco Soldovieri ◽  
Erica Utsi ◽  
Raffaele Persico ◽  
Amir M. Alani
Keyword(s):  
Data Processing ◽  
Inverse Scattering ◽  
Ground Penetrating Radar ◽  
Building Materials ◽  
3D Visualization ◽  
Radar Data ◽  
Archaeological Remains ◽  
Definition Of ◽  
Ground Penetrating ◽  
Radar Data Processing

The Romano-British site of Barcombe in East Sussex, England, has suffered heavy postdepositional attrition through reuse of the building materials for the effects of ploughing. A detailed GPR survey of the site was carried out in 2001, with results, achieved by usual radar data processing, published in 2002. The current paper reexamines the GPR data using microwave tomography approach, based on a linear inverse scattering model, and a 3D visualization that permits to improve the definition of the villa plan and reexamine the possibility of detecting earlier prehistoric remains.

A New Approach of Detecting and Evaluation Railway by Using the Train-Mounted Ground Penetrating Radar in China

2011 ◽  
Vol 243-249 ◽  
pp. 4351-4355
Author(s):  
Jie Liu ◽  
Yuan Shui Cheng
Keyword(s):  
Data Processing ◽  
Ground Penetrating Radar ◽  
Stable Structure ◽  
New Approach ◽  
Highly Effective ◽  
Ground Penetrating

Stable structure of subgrade of railway is an important foundation for safety of train. Rising of speed and heavy transport tasks accelerate deterioration of ballast and increase disease of subgrade. It is more important how to detect and maintain the condition of ballast and subgrade highly effective, faster and without any destruct. In recent years, the ground penetrating radar has been an effective method for detecting and evaluation ballast and subgrade. This paper present application of detecting and evaluation ballast and subgrade by using the train-mounted-multicenter ground penetrating radar(GPR), data processing and interpretation, acknowledge and some problem.

scholarly journals Synthesis of an Algorithm for Processing the Trajectories of Moving Objects Using the Methods of Data Clustering Theory

2021 ◽  
Vol 24 (2) ◽  
pp. 54-67
Author(s):  
Nguyen Phung Bao ◽  
Quang Hieu Dang
Keyword(s):  
Data Processing ◽  
Experimental Research ◽  
Systems Engineering ◽  
Data Clustering ◽  
Moving Objects ◽  
Radar Data ◽  
New Approach ◽  
Radar Data Processing ◽  
Object Trajectories ◽  
Generalized Scheme

Introduction.  Requirements for the quality of information about the trajectory of moving objects provided by sensor networks are increasingly becoming more stringent. For Information and Data Processing Centers (DPC) at control and management command posts, the issue of information mapping and forming the true trajectories of moving objects in the area of intersection of network detection zones is of particular importance. The use of conventional approaches to solving this problem involves issues  related to ensuring the efficient provision of users with complete and reliable information about trajectories in real time. In this article, wee propose a new approach to solving this problem using data mining theory, in particular, the methods of data clustering theory. Based on an analysis of the process of processing radar data in a DPC and its similarity with that of data clustering, we synthesized an algorithm for processing the trajectories of moving objects. The algorithm was verified by modelling and experimental research.Aim.  To develop a generalized scheme for processing object trajectories (TP) in a DPC and to synthesized a TP algorithm using the methods of data clustering theory.Materials  and  methods.  Data  Clustering  theory,  Systems   Engineering  theory,  Radar  Data  processing  theory (RD), methods of mathematical modelling and experimental research.Results.  Based on an analysis of the essence of radar data processing (RD) in a DPC and its similarity with the process of data clustering,  an algorithm for processing the trajectories of moving objects was synthesized and verified by modelling and experimental research. A generalized scheme for processing the trajectories of moving objects in a DPC and a TP algorithm for a DPC were synthesized.Conclusions.  An algorithm for processing object trajectories was proposed based on a new approach of data clustering theory. A generalized scheme and an algorithm for processing object trajectories (TP) in a DPC were suggested. These developments can be  effectively applied in various models, e.g. centralized, hierarchical and decentralized. The synthesized algorithm can provide output information about the true identified trajectories in terms of various indicators of data processing systems (DPS).

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