SAR multi‐target interactive motion recognition based on convolutional neural networks
Author:
Affiliation:
1. College of Computer Science and Technology, Zhejiang University of TechnologyHangzhou310023People's Republic of China
2. Department of Information Science and Electronic EngineeringZhejiang UniversityHangzhou310027People's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.0861
Reference30 articles.
1. Automatic Target Recognition of SAR Images Based on Global Scattering Center Model
2. Classification via the Shadow Region in SAR Imagery
3. Classification via Sparse Representation of Steerable Wavelet Frames on Grassmann Manifold: Application to Target Recognition in SAR Image
4. Deep learning
5. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
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