Sea-Net:Visual Cognition-enabled Sample and Embedding Adaptive Network for SAR Image Object Classification-Reference-Cited by-同舟云学术

Sea-Net:Visual Cognition-enabled Sample and Embedding Adaptive Network for SAR Image Object Classification

Published:2023 Issue: Volume: Page:1-14
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Fan Lili¹,Zeng Changxian²,Liu Hongmei²,Liu Jianjian³,Li Yunjie⁴,Cao Dongpu⁵

Affiliation:

1. School of Information and Electronics, Beijing Institute of Technology, Jiangsu Industrial Innovation Center of Intelligent Equipment Co. Ltd, Laboratory of Electromagnetic Space Cognition and Intelligent Control, Beijing, China

2. School of Science, Dalian Minzu University, Dalian, China

3. Automotive Engineering Research Institute, BYD Automotive Industry Co., Ltd, Shenzhen, China

4. School of Information and Electronices, Beijing Institute of Technology, Beijing, China

5. School of Vehicle and Mobility, Tsinghua University, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/7448921/10288348.pdf?arnumber=10288348

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