Obstacle segmentation based on the wave equation and deep learning

Adar Kahana, Eli Turkel, Shai Dekel, Dan Givoli

Research output: Contribution to journalArticlepeer-review

Abstract

We model the inverse physical problem of identifying an underwater obstacle by using the acoustic wave equation. Measurements are collected in a set of sensors placed in the medium. We use this partial information to approximate a segmentation of the obstacle in its correct location. This is an ill-posed problem. We propose a novel deep learning architecture that takes as input the sensor data and computes an approximate segmentation map of the obstacle.

Original languageEnglish
Article number109458
JournalJournal of Computational Physics
Volume413
DOIs
StatePublished - 15 Jul 2020

Keywords

  • Deep learning
  • Inverse problems
  • Obstacle identification
  • Wave equation

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