PAN: Part Attention Network Integrating Electromagnetic Characteristics for Interpretable SAR Vehicle Target Recognition-Reference-Cited by-同舟云学术

PAN: Part Attention Network Integrating Electromagnetic Characteristics for Interpretable SAR Vehicle Target Recognition

Published:2023 Issue: Volume:61 Page:1-17
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/ielx7/36/10006360/10068265.pdf?arnumber=10068265

Reference60 articles.

1. SAR Automatic Target Recognition Based on Attribute Scattering Center Model and Discriminative Dictionary Learning

2. SAR Target Classification Using the Multikernel-Size Feature Fusion-Based Convolutional Neural Network

3. Target Recognition in Synthetic Aperture Radar Images via Matching of Attributed Scattering Centers

4. Learning Capsules for SAR Target Recognition

5. Target Classification Using the Deep Convolutional Networks for SAR Images

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