Evolutionary developments of today's remote sensing radar technology—right from the telemobiloscope: a review
SS Kari, AAB Raj - IEEE Geoscience and Remote Sensing …, 2023 - ieeexplore.ieee.org
Today, remote sensing systems/technologies are one of the most essential requirements for
civil and military sectors for various applications. This review article discusses the …
civil and military sectors for various applications. This review article discusses the …
Application of DNN for radar micro-doppler signature-based human suspicious activity recognition
The non-availability of open-source datasets covering various human suspicious activities
and well-trained deep learning (DL) architecture limits the effective utilization of DL network …
and well-trained deep learning (DL) architecture limits the effective utilization of DL network …
A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions
Autonomous unmanned aerial vehicles (UAVs) have several advantages in various fields,
including disaster relief, aerial photography and videography, mapping and surveying …
including disaster relief, aerial photography and videography, mapping and surveying …
Model-based data augmentation applied to deep learning networks for classification of micro-Doppler signatures using FMCW radar
N Rojhani, M Passafiume… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Deep neural networks (DNNs) have become a relevant subject in the classification of radio
frequency signals and remote sensing data. A primary challenge is a tradeoff between …
frequency signals and remote sensing data. A primary challenge is a tradeoff between …
Safespace mfnet: Precise and efficient multifeature drone detection network
The increasing prevalence of unmanned aerial vehicles (UAVs), commonly known as
drones, has generated a demand for reliable detection systems. The inappropriate use of …
drones, has generated a demand for reliable detection systems. The inappropriate use of …
UAV propeller rotational speed measurement through FMCW radars
The growing number of civil applications in which Unmanned Aerial Vehicles (UAVs) are
involved can create many concerns for airspace security and surveillance. Gathering as …
involved can create many concerns for airspace security and surveillance. Gathering as …
Photonics radar based LSS targets' postures' mD and cadence frequency imaging using empirical wavelet transform technique
Developing a photonics radar to detect the combined multiple simultaneous-
behaviours/postures of low-slow-small (LSS) aerial targets and appropriately extracting their …
behaviours/postures of low-slow-small (LSS) aerial targets and appropriately extracting their …
Development of RF-photonic system for automatic targets' nonlinear rotational/flapping/gliding signatures imaging applications
N Akhter, HC Kumawat… - Journal of Circuits …, 2023 - World Scientific
Nowadays, developing the radio frequency (RF)-photonic sensors suitable for several
Defence and civil applications is emerging due to its various unique advantages. In today's …
Defence and civil applications is emerging due to its various unique advantages. In today's …
A hyper-parameters-tuned R-PCA+ SVM technique for sUAV targets classification using the range-/micro-Doppler signatures
MM Hasan, M Chakraborty… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The identical nature of range-Doppler/micro-Doppler (rD/mD) signatures of small unmanned
aerial vehicle (sUAV) invite the involvement of artificial intelligence (AI) for their …
aerial vehicle (sUAV) invite the involvement of artificial intelligence (AI) for their …
Target detection in sea clutter via contrastive learning
This article considers the target detection problem using limited labeled samples in the
nonhomogeneous sea clutter environment and proposes an effective method of radar visual …
nonhomogeneous sea clutter environment and proposes an effective method of radar visual …