Abstract. Coded targets are physical optical markers that can be easily identified in an image. Their detection is a critical step the process of camera calibration. A wide range coded was developed to date. The differ their decoding algorithms. main limitation existing methods low robustness new backgrounds and illumination conditions. Modern deep learning recognition-based algorithms demonstr...

Quantum illumination can utilize entangled light to detect the low-reflectivity target that is hidden in a bright thermal background. This technique applied detection of an object curved spacetime Earth, order explore how curvature affects quantum illumination. It found spatial with state transmitter outperforms coherent-state near-Earth spacetime. Moreover, either system or employed, and gravi...

The identification of small land targets in remote sensing imagery has emerged as a significant research objective. Despite advancements object detection strategies based on deep learning for visible images, the performance detecting and densely distributed number remains suboptimal. To address this issue, study introduces an improved model named YOLOV4_CPSBi, YOLOV4 architecture, specifically ...

It is not clear if the performance of a quantum lidar or radar, without an idler and only using Gaussian resources, could exceed semiclassical setup based on coherent states homodyne detection. Here we prove this indeed case by showing that idler-free squeezed-based can beat benchmark. More generally, show probes whose displacement squeezing are jointly optimized strictly outperform with same m...

The topic of Doppler and Bearing Tracking (DBT) problem is to achieve a target trajectory using the Doppler and Bearing measurements. The difficulty of DBT problem comes from the nonlinearity terms exposed in the measurement equations. Several techniques were studied to deal with this topic, such as the unscented Kalman filter. Nevertheless, the performance of the filter depends directly on the...