Drones are increasing in popularity and are reaching the public faster than ever before.
Consequently, the chances of a drone being misused are multiplying. Automated drone …

Due to the smaller size, low cost, and easy operational features, small unmanned aerial
vehicles (SUAVs) become more popular for various defense as well as civil applications …

Recognizing suspicious human activities is one of the critical requirements for national
security considerations. Nowadays, designing the deep convolution neural network (DCNN) …

This paper presents a systematic approach to drone detection and classification using deep
learning with different modalities. The YOLOv3 object detector is used to detect the moving …

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 …

In the view of national security, radar micro-Doppler (mD) signatures-based recognition of
suspicious human activities becomes significant. In connection to this, early detection and …

In this study, the authors present the accurate imaging of the behavior of simultaneous
operations of multiple low radar cross-section (RCS) aerial targets. Currently, the popularity …

In this work, we present the accurate micro-Doppler (mD) imaging of behaviors of
simultaneous operation of multiple low-altitude, smaller size, and slowly flying (LSS) targets …

Developing a photonics radar to detect the combined multiple simultaneous-
behaviours/postures of low-slow-small (LSS) aerial targets and appropriately extracting their …

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 …