Electromagnetic Scattering Feature (ESF) Module Embedded Network Based on ASC Model for Robust and Interpretable SAR ATR-Reference-Cited by-同舟云学术

Electromagnetic Scattering Feature (ESF) Module Embedded Network Based on ASC Model for Robust and Interpretable SAR ATR

Published:2022 Issue: Volume:60 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Feng Sijia¹^ORCID,Ji Kefeng¹^ORCID,Wang Fulai¹^ORCID,Zhang Linbin¹^ORCID,Ma Xiaojie¹^ORCID,Kuang Gangyao¹

Affiliation:

1. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System and the College of Electronic Science and Technology, National University of Defense Technology, Changsha, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09896887.pdf?arnumber=9896887

Reference60 articles.

1. SAR Target Classification Based on Integration of ASC Parts Model and Deep Learning Algorithm

2. SAR Unlabeled Target Recognition Based on Updating CNN With Assistant Decision[-.2pc]

3. Contextual Region-Based Convolutional Neural Network with Multilayer Fusion for SAR Ship Detection

4. An Efficient and Robust Framework for SAR Target Recognition by Hierarchically Fusing Global and Local Features

5. Model-based classification of radar images

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