Results 41 to 50 of about 1,458 (182)
Hand Gesture Recognition Using Micro-Doppler Signatures With Convolutional Neural Network
In this paper, we investigate the feasibility of recognizing human hand gestures using micro-Doppler signatures measured by Doppler radar with a deep convolutional neural network (DCNN).
Youngwook Kim, Brian Toomajian
doaj +1 more source
Frontiers of Doppler Lidar: A Review on Its Global Applications
Doppler lidars provide high‐resolution wind measurements that support weather forecasting, wind energy optimization, and aviation safety. This review highlights their global applications, operational advantages, and growing role in atmospheric science and sustainable development. ABSTRACT Doppler lidar is a powerful remote sensing technology capable of
Sridhara Nayak, Isao Kanda
wiley +1 more source
Human Motion Recognition With Limited Radar Micro-Doppler Signatures
The performance of deep learning (DL) algorithms for radar-based human motion recognition (HMR) is hindered by the diversity and volume of the available training data. In this article, to tackle the issue of insufficient training data for HMR, we propose an instance-based transfer learning (ITL) method with limited radar micro-Doppler (MD) signatures ...
Xinyu Li 0007 +5 more
openaire +4 more sources
Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing
When using a long range radar (LRR) to track a target with micromotion, the micro-Doppler embodied in the radar echoes may suffer from ambiguity problem.
Jing-bo Zhuang +4 more
doaj +1 more source
A review of the FATIMA Yellow Sea field campaign research
The FATIMA marine fog project took place over the Sable Island region of eastern Canada (summer 2022) and the Yellow Sea of the Republic of Korea (ROK, summer 2023). Its goals are to improve marine fog monitoring and forecasting. Instrumented multiple research vessels, aircraft, tethered balloon and autonomous systems, ocean observation sites, and ...
Seok Lee +50 more
wiley +1 more source
Classification of Personnel Targets with Baggage Using Dual-band Radar
In this paper, we aim to identify passengers with different baggage by analyzing the micro-Doppler radar signatures corresponding to different kinds of gaits, which is helpful to improve the efficiency of security check in airports. After performing time-
Le Yang, Gao Chen, Gang Li
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A RPCA-Based ISAR Imaging Method for Micromotion Targets
Micro-Doppler generated by the micromotion of a target contaminates the inverse synthetic aperture radar (ISAR) image heavily. To acquire a clear ISAR image, removing the Micro-Doppler is an indispensable task.
Liangyou Lu, Peng Chen, Lenan Wu
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Artificial intelligence (AI) radar technology offers several advantages over other technologies, including low cost, privacy assurance, high accuracy, and environmental resilience.
Minh-Khue Ha +6 more
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Wearable Data‐Driven Transformer Model for Physical Load Assessment in Badminton Training
Through multi‐dimensional data fusion and innovative network architecture, the management from data collection to physical fitness evaluation is realized. ABSTRACT This study focuses on capturing the physiological state and action characteristics of badminton players in the high‐intensity and fast‐changing sports scene.
Manling Sun
wiley +1 more source
Micro-Doppler Signature Analysis for Space Domain Awareness Using VHF Radar
The large quantity of resident space objects orbiting Earth poses a threat to safety and efficient operations in space. Radar sensors are well suited to detecting objects in space including decommissioned satellites and debris, whereas the more commonly ...
Emma Heading +3 more
doaj +1 more source

