Probabilistic Geoacoustic Inversion in Complex Environments

Abstract

This proposal aims to develop new inversion methods for complex ocean environments for a range of geoacoustic data types. The focus is on (1) improving automated param- eterizations to capture seabed variability and uncertainties consistent with data reso- lution, and (2) improved numerical methods for parameter and uncertainty estimation for greater reliability and e ciency (computational cost is currently a limiting factor in uncertainty estimation). These improvements will expand our ability to apply inver- sion to problems of increasing complexity while reducing the subjective assumptions made in the quantitative inversion. Fundamental advancements in inversion/inference methods are required since science goals of the ocean acoustics community are increas- ingly focused on more complex environments and/or more complex wave propagation theories. The methods will be developed with simulated data and measured data (ex- isting and new). In particular, data from the Ocean Acoustics Seabed Characterization Experiment will be considered once available.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2016
Source ID
N000141512019

Entities

People

  • Stan E. Dosso

Organizations

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

Tags

Fields of Study

  • Environmental science

Readers

  • Distributed Systems and Data Platform Development
  • Regression Analysis.
  • Snow Cover Descriptors for Reptiles and Their Illustrations.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference