Radar spectrum-image fusion using dual 2D-3D convolutional neural network to transformer inspired multi-headed self-attention bi-long short-term memory network for vehicle recognition-Reference-Cited by-同舟云学术

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Radar spectrum-image fusion using dual 2D-3D convolutional neural network to transformer inspired multi-headed self-attention bi-long short-term memory network for vehicle recognition

Published:2024-07-09 Issue:04 Volume:33 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Arnous Ferris I.¹,Narayanan Ram M.²

Affiliation:

1. The Pennsylvania State University, Department of Engineering Science and Mechanics, University Park, Pennsylvania, United States

2. The Pennsylvania State University, Department of Electrical Engineering and Department of Engineering Science and Mechanics, University Park, Pennsylvania, United States

Publisher

SPIE-Intl Soc Optical Eng

Reference19 articles.

1. An image is worth 16×16 words: transformers for image recognition at scale;Dosovitskiy,2020

2. VTR: an optimized vision transformer for SAR ATR acceleration on FPGA

3. Vision transformer for small-size datasets;Lee,2021

4. A Novel Multi-Input Bidirectional LSTM and HMM Based Approach for Target Recognition from Multi-Domain Radar Range Profiles

5. Multi-Stream Convolutional Neural Network for SAR Automatic Target Recognition

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