Ground target classification using mmWave radar with bidirectional long short-term memory networks-Reference-Cited by-同舟云学术

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Ground target classification using mmWave radar with bidirectional long short-term memory networks

Published:2022-12-29 Issue:04 Volume:16 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Gunes Oytun¹,Ege Mert¹,Morgül Ömer¹

Affiliation:

1. Bilkent University, Department of Electrical and Electronics Engineering, Ankara, Turkey

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference25 articles.

1. MDR for law enforcement [motion detector radar]

2. Mobile Ravin: Intrusion Detection and Tracking with Organic Airport Radar and Video Systems

3. Integrated radar-camera security system: experimental results

4. Analysis of polarimetric multistatic human micro-Doppler classification of armed/unarmed personnel

5. Recognition of humans based on radar micro‐Doppler shape spectrum features

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Radar based automated system for people walk identification using correlation information and flexible analytic wavelet transform;Applied Intelligence;2023-11-24

2. Walking Pattern Identification of FMCW Radar Data based on a Combined CNN and bi-LSTM Approach;2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS);2023-06

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