Deep convolutional neural network for meteorology target detection in airborne weather radar images-Reference-Cited by-同舟云学术

Deep convolutional neural network for meteorology target detection in airborne weather radar images

Published:2023-10 Issue:5 Volume:34 Page:1147-1157
ISSN:1004-4132
Container-title:Journal of Systems Engineering and Electronics
language:
Short-container-title:J. of Syst. Eng. Electron.

Author:

Chaopeng Yu¹,Wei Xiong¹,Xiaoqing Li¹,Lei Dong²

Affiliation:

1. Leihua Electronic Technology Institute,Aviation Industry Corporation of China,Wuxi,China,214063

2. Civil Aviation University of China,Key Laboratory of Civil Aircraft Airworthiness Technology,Tianjin,China,300300

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

http://xplorestaging.ieee.org/ielx7/5971804/10308758/10308774.pdf?arnumber=10308774

Reference36 articles.

1. Learning Deep Ship Detector in SAR Images From Scratch

2. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

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4. Batch normalization: accelerating deep network training by reducing internal covariate shift;ioffe;Proc of the International Conference on Machine Learning,2015

5. Sea-surface small target detection based on autonomic learning of time-frequency graph;shi;Systems Engineering and Electronics,2021

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