Explainability of deep SAR ATR through feature analysis
Date
2020-10-20
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Department
Type
Article
ISSN
0018-9251
Format
Free to read from
Citation
Belloni C, Aouf N, Balleri A, et al., (2020) Explainability of deep SAR ATR through feature analysis. IEEE Transactions on Aerospace and Electronic Systems, Volume 57, Issue 1, February 2021, pp. 659 - 673
Abstract
Understanding the decision-making process of deep learning networks is a key challenge which has rarely been investigated for Synthetic Aperture Radar (SAR) images. In this paper, a set of new analytical tools is proposed and applied to a Convolutional Neural Network (CNN) handling Automatic Target Recognition (ATR) on two SAR datasets containing military targets.
Description
Software Description
Software Language
Github
Keywords
Deep Learning, SAR, ATR, Explainability, Features
DOI
Rights
Attribution-NonCommercial 4.0 International