Feedback-Assisted Automatic Target and Clutter Discrimination Using a Bayesian Convolutional Neural Network for Improved Explainability in SAR Applications

Feedback-Assisted Automatic Target and Clutter Discrimination Using a Bayesian Convolutional Neural Network for Improved Explainability in SAR Applications

In this paper, a feedback training approach for efficiently dealing with distribution shift in synthetic aperture radar target detection using a Bayesian convolutional neural network is proposed. After training the network on in-distribution data, it is tested on out-of-distribution data. Samples th...

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Bibliographic Details
Main Authors: Nicholas Blomerus, Jacques Cilliers, Willie Nel, Erik Blasch, Pieter de Villiers
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
synthetic aperture radar
automatic target recognition
bayesian convolutional neural network
feedback-assisted Bayesian convolutional neural network
explainable artificial intelligence
deep machine learning
Online Access:https://www.mdpi.com/2072-4292/14/23/6096

Internet

https://www.mdpi.com/2072-4292/14/23/6096

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