Modern radar systems have high requirements in terms of accuracy, robustness and real-
time capability when operating on increasingly complex electromagnetic environments …

Synthetic aperture radar (SAR) systems are widely used for intelligence, surveillance, and
reconnaissance purposes. However, unlike electro-optical (EO) images, SAR images are …

The need to classify targets and features in high-resolution imagery is of interest in
applications such as detection of landmines in ground penetrating radar and tumors in …

For many intelligence sources, reliable independent algorithms exist for interpreting the data
and reporting relevant information to analysts. However, achieving the necessary cross …

We present experiments to explore the use of deep neural network classification models for
estimating the orientation of objects with linear structures from polarimetric radar data. We …

Synthetic-Aperture-Radar (SAR) is a commonly used modality in mission-critical remote-
sensing applications, including battlefield intelligence, surveillance, and reconnaissance …

This paper focuses on algorithm for parameters tuning for radar-based sensing systems for
motion monitoring. The algorithm adapts parameters for better system performance …

How will artificial intelligence affect the US-China balance of power? While a nascent
literature debates whether AI may upend strategic stability or revolutionize the nature of …

GPR has been proposed as a solution for mine clearance and the removal of unexploded
ordnance. To detect targets, convolutional neural networks (CNNs) may be used. However …