Obstacle segmentation based on the wave equation and deep learning

被引：19

作者：

Kahana, Adar ^{[1
]}

Turkel, Eli ^{[1
]}

Dekel, Shai ^{[1
]}

Givoli, Dan ^{[2
]}

机构：

[1] Tel Aviv Univ, Dept Appl Math, IL-69978 Tel Aviv, Israel

[2] Technion, Dept Aerosp Engn, IL-32000 Haifa, Israel

来源：

JOURNAL OF COMPUTATIONAL PHYSICS | 2020年 / 413卷

关键词：

Obstacle identification; Wave equation; Inverse problems; Deep learning; TIME-REVERSAL; INVERSE PROBLEMS;

D O I：

10.1016/j.jcp.2020.109458

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页数：10

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