Ground Penetrating Radar : Signal Processing for Buried Threat Detection (Signal and Image Processing of Earth Observations)

Torrione, Peter A./ Morton, Kenneth D., Jr./ Collins, Leslie Marie

CRC Pr I Llc（2020/09発売）

• 製本 Hardcover:ハードカバー版／ページ数 304 p.
• 言語 ENG
• 商品コード 9781482299250
• DDC分類 621

Full Description

Ground-penetrating radar (GPR) is a geophysical method that uses radar pulses to image the subsurface. This nondestructive method uses electromagnetic radiation in the microwave band of the radio spectrum to detect reflected signals from subsurface structures. This book concisely summarizes many of the lessons learned over the past few decades working on the problem of algorithm development for landmine and IED detection in GPR data and represents an in-depth analysis of different stages of signal processing applied to GPR data.

Contents

Introduction and Goals. System Performance and Current Challenges. GPR Data and Physics from a Signal Processing Perspective. Programmatic Lessons Learned. Pre-Processing: Approaches Tried, Lessons Learned. Pre-Screening: Approaches Tried, Lessons Learned. Inversion and Modeling Approaches (Difference vs. Feature Extraction - End Result is an Image (Inversion) or a Feature Vector (Feature Extraction)). Feature Extraction (Challenges: Time-of-Arrival, Soil Parameter Change Rapidly, Targets Not Hyperbolic, Clutter is Often Hyperbolic, Etc.). Feature Classification (Lots of Supervised Learning Approaches - RVM, SVM, Random Forest, PLSDA, Neural Networks, Log-Linear Models; Problems When Applying Them to GPR Data). Sensor Fusion. Data Visualization and Result Reporting. Open-Source MATLAB Code: GPRTools. Promising Avenues for Future Work. Conclusions and Acknowledgements.