Results 31 to 40 of about 11,440 (262)
Micro-Doppler Feature Extraction and Recognition Based on Netted Radar for Ballistic Targets
This study examines the complexities of using netted radar to recognize and resolve ballistic midcourse targets. The application of micro-motion feature extraction to ballistic mid-course targets is analyzed, and the current status of application and ...
Feng Cun-qian +3 more
doaj +1 more source
Radar target recognition method based on self-attention 1dCNN and its design of visual interface
Radar target recognition is a critical technology for environmental situational awareness. With the rapid development of artificial intelligence, deep learning has become a mainstream research approach in radar target perception.
Liao Leiyao, Hong Zishuo
doaj +1 more source
Radar high-resolution range profile (HRRP) provides geometric and structural information of target, which is important for radar automatic target recognition (RATR).
Wei Yang +16 more
doaj +1 more source
Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing [PDF]
As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral ...
Han, Junwei +6 more
core +1 more source
Marine target detection and recognition depend on the characteristics of marine targets and sea clutter. Therefore, understanding the essential features of marine targets based on the measured data is crucial for advancing target detection and ...
Jian GUAN +7 more
doaj +1 more source
Polarimetric calibration and its influence on target recognition performance [PDF]
Paper 73350ZFully polarimetric radars that use polarization diversity on transmit and receive and thus provide the full scattering matrix, are subject to effects like cross-talk and channel imbalance. These distortions have to be eliminated by means of a
Schimpf, H.
core +1 more source
Multi-target Micro-motion Feature Extraction Based on Tracking Pulses in MIMO Radar
The micro-motion feature is one of the important characteristic information of spatial target recognition. However, the existing multifunctional Multi-Input Multi-Output (MIMO) radar usually has to allocate a large number of continuous time resources for
Luo Ying +3 more
doaj +1 more source
Kernel Uncorrelated Discriminant Analysis for Radar Target Recognition [PDF]
Kernel fisher discriminant analysis (KFDA) has received extensive study in recent years as a dimensionality reduction technique. KFDA always encounters an intrinsic singularity of scatter matrices in the feature space, namely ‘small sample size' (SSS) problem. Several novel methods have been proposed to cope with this problem.
Ling Wang 0003, Liefeng Bo, Licheng Jiao
openaire +1 more source
Deep neural network design for SAR/ISAR-based automatic target recognition [PDF]
S.243-277The automatic recognition of targets with radar is an ongoing research field for many years already. Since 2014, a new methodology based on deep neural networks is becoming more established within this field.
Brüggenwirth, S., Wagner, S.
core +1 more source
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele +2 more
wiley +1 more source

