Results 31 to 40 of about 48,067 (197)
Automatic target recognition using multi-diversity radar
The information content of radar target signatures is a key aspect for automatic target recognition. The role of high-range resolution is investigated as a function of the illuminating wavelength. The classification performance is evaluated using (i) full-scale 2D inverse synthetic aperture radar images obtained from a stepped-frequency chirp ...
M. Vespe, C.J. Baker, H.D. Griffiths
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Synthetic aperture radar automatic target recognition using adaptive boosting [PDF]
We propose a novel automatic target recognition (ATR) system for classification of three types of ground vehicles in the MSTAR public release database. First, each image chip is pre-processed by extracting fine and raw feature sets, where raw features compensate for the target pose estimation error that corrupts fine image features.
Yijun Sun +3 more
openaire +1 more source
Multi-Block Mixed Sample Semi-Supervised Learning for SAR Target Recognition
In recent years, synthetic aperture radar (SAR) automatic target recognition has played a crucial role in multiple fields and has received widespread attention.
Ye Tian +4 more
doaj +1 more source
Fusing Deep Learning and Sparse Coding for SAR ATR [PDF]
We propose a multimodal and multidiscipline data fusion strategy appropriate for automatic target recognition (ATR) on synthetic aperture radar imagery. Our architecture fuses a proposed clustered version of the AlexNet convolutional neural network with ...
Aouf, N., Kechagias-Stamatis, O.
core +2 more sources
Computational Burden Resulting from Image Recognition of High Resolution Radar Sensors
This paper presents a methodology for high resolution radar image generation and automatic target recognition emphasizing the computational cost involved in the process.
Elena Rufo +5 more
doaj +1 more source
Radar and RGB-depth sensors for fall detection: a review [PDF]
This paper reviews recent works in the literature on the use of systems based on radar and RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research challenges and trends related to this research field.
Cippitelli, Enea +3 more
core +1 more source
SARCASTIC v2.0—High-Performance SAR Simulation for Next-Generation ATR Systems
Synthetic aperture radar has been a mainstay of the remote sensing field for many years, with a wide range of applications across both civilian and military contexts.
Michael Woollard +3 more
doaj +1 more source
Measurements and analysis of multistatic and multimodal micro-Doppler signatures for automatic target classification [PDF]
The purpose of this paper is to present an experimental trial carried out at the Defence Academy of the United Kingdom to measure simultaneous multistatic and multimodal micro-Doppler signatures of various targets, including humans and flying UAVs ...
Balleri, Alessio +2 more
core +1 more source
Radar Automatic Target Recognition (RATR) is the key technique to be breaked through in the fuure development of intelligent weapon system. Compared to the 2-D SAR image target recognition, High Resolution Range Profile (HRRP) target recognition has the ...
Xiang Yin, Zhang Kai, Hu Cheng
doaj +1 more source
VGM-RNN: HRRP Sequence Extrapolation and Recognition Based on a Novel Optimized RNN
High-Resolution Range Profile (HRRP) sequence has attracted academic attentions in the field of radar automatic target recognition (RATR) owing to its abundant spatial-temporal correlation between adjacent samples. However, it is difficult in the working
Yifan Zhang +3 more
doaj +1 more source

