Topological investigation of target/clutter features in sonar data

Abstract

The proposed program is a collaborative effort between American University and Applied Research in Acoustics (ARiA) which perform and topological investigation of target/clutter features in mine countermeasures sonar data. This an early-stage applied research project that will focus on several key questions: (1) How well does a stratified manifold model represent the signatures of synthetic aperture sonar (SAS) targets? What is the actual dimension of some common targets? (2) How many looks (spatial, spectral, or otherwise) at various targets are necessary to obtain the baseline stratified manifold model? (3) How many looks (spatial, spectral, or otherwise) at a target are necessary to identify it, given a dictionary of stratified manifold models? What theoretical and experimental bounds support an efficient target classification?

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 08, 2016
Source ID
N000141512090

Entities

People

  • Michael Robinson

Organizations

  • American University
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Graph Algorithms and Convex Optimization.
  • Regression Analysis.
  • Sensor Fusion and Tracking Systems.