Automatic target recognition (ATR) for military applications is one of the core processes
toward enhancing intelligence and autonomously operating military platforms. Spurred by …

We propose a multimodal and multidiscipline data fusion strategy appropriate for automatic
target recognition (ATR) on synthetic aperture radar imagery. Our architecture fuses a …

Abstract 3D local descriptors are the fundamental and essential elements that have been
commonly applied in 3D computer vision. This paper proposes a novel and effective 3D …

In this study, authors address high‐range‐resolution (HRR) profile reconstruction, when
stepped‐frequency waveforms are eventually used to maintain a narrow instantaneous …

A method is presented for the measurement of the phase gradient of a wavefront by tracking
the relative motion of speckles in projection holograms as a sample is scanned across the …

During autonomous driving, fast and accurate object recognition supports environment
perception for local path planning of unmanned ground vehicles. Feature extraction and …

The 3-D automatic target recognition (ATR) has many advantages over its 2-D counterpart,
but there are several constraints in the context of small low-cost unmanned aerial vehicles …

The missile-borne LiDAR has an essential prospect in precise guidance. However, the
instability of the missile has a significant impact on the precision of LIDAR point cloud, thus …

Driven by the great success of deep convolutional neural networks (CNNs) that are currently
used by quite a few computer vision applications, we extend the usability of visual-based …

This work proposes a high-speed Light Detection and Ranging (LIDAR) based navigation
architecture that is appropriate for uncooperative relative space navigation applications. In …