Journal
JOURNAL OF COMPUTATIONAL PHYSICS
Volume 413, Issue -, Pages -Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2020.109458
Keywords
Obstacle identification; Wave equation; Inverse problems; Deep learning
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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. (C) 2020 Elsevier Inc. All rights reserved.
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