A Comparative Study of NN and SVM-Based Electromagnetic Inverse Scattering Approaches to On-Line Detection of Buried Objects

Abstract

Microwave-based sensing techniques constitute an important tool for the detection of buried targets. In this framework, a key issue is represented by real-time scatterer localization. As far as such a topic is concerned, this paper presents a comparative evaluation of the performances provided by a conventional NN-based inverse scattering technique and by a new SVM based electromagnetic approach. In order to estimate the effectiveness values of the two methods, realistic configurations and noisy environments are considered and current capabilities, as well as potential limitations, are pointed out. Finally, possible future research work is outlined.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2003
Accession Number
ADP014206

Entities

People

  • Andrea Boni
  • Davide Anguita
  • Emanuela Bermani
  • Massimo Donelli
  • Salvatore Caorsi

Organizations

  • University of Pavia

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Buried Objects
  • Computer Science
  • Detection
  • Earth Sciences
  • Electric Fields
  • Electromagnetic Fields
  • Electromagnetic Scattering
  • Electronics
  • Engineering
  • Information Processing
  • Inverse Scattering
  • Kernel Functions
  • Neural Networks
  • Pattern Recognition
  • Remote Sensing
  • Supervised Machine Learning
  • Test Sets

Readers

  • Neural Network Machine Learning.
  • Sensor Fusion and Tracking Systems.
  • Theoretical Analysis.