Results 21 to 30 of about 3,557 (290)

Robust High Resolution Range Profile Recognition Method for Radar Targets in Noisy Environments

Leida xuebao, 2020
With the application of deep learning technology in the radar target recognition field, the automatic extraction of the target feature greatly improves the accuracy and robustness of the recognition, but its robustness in noisy environments needs to be ...
Weijie LI, Wei YANG, Xiang LI, Yongxiang LIU   +3 more
doaj   +1 more source

Electromagnetic Scattering Characteristic Extraction and Imaging Recognition Algorithm: A Review

Leida xuebao, 2022
One remarkable trend in applying synthetic aperture radar technology is the automatic interpretation of Synthetic Aperture Radar (SAR) images. The electromagnetic scattering characteristics have a robust correlation with the target structure, which ...
Mengdao XING, Yiyuan XIE, Yuexin GAO, Jinsong ZHANG, Jiaming LIU, Zhixin WU   +5 more
doaj   +1 more source

Dual-band polarimetric HRRP recognition via a brain-inspired multi-channel fusion feature extraction network

Frontiers in Neuroscience, 2023
Radar high-resolution range profile (HRRP) provides geometric and structural information of target, which is important for radar automatic target recognition (RATR).
Wei Yang, Wei Yang, Qiang Zhou, Qiang Zhou, Mingchen Yuan, Mingchen Yuan, Yang Li, Yang Li, Yang Li, Yang Li, Yanhua Wang, Yanhua Wang, Yanhua Wang, Yanhua Wang, Yanhua Wang, Liang Zhang, Liang Zhang   +16 more
doaj   +1 more source

Measurements and analysis of multistatic and multimodal micro-Doppler signatures for automatic target classification [PDF]

, 2014
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 ...
Marcio Perassoli, Alessio Balleri, Woodbridge, K., Perassoli, M., Balleri, Alessio, Karl Woodbridge   +5 more
core   +1 more source

Multistatic human micro-Doppler classification of armed/unarmed personnel [PDF]

, 2015
Classification of different human activities using multistatic micro-Doppler data and features is considered in this paper, focusing on the distinction between unarmed and potentially armed personnel.
Griffiths, Hugh, Fioranelli, Francesco, Griffiths, H, Ritchie, Matthew, Francesco Fioranelli, Fioranelli, F, Ritchie, M, Hugh Griffiths, Matthew Ritchie   +8 more
core   +1 more source

Model-based sensor fusion for target recognition

, 2022
S.98-107The automatic recognition and interpretation of complex structures from imagery, e.g. radar or IR images, needs a structure-oriented analysis method.
Jurkiewicz, K., Jäger, K., Bers, K.H.
core   +1 more source

An Approach to Automatic Target Recognition in Radar Images Using SVM [PDF]

, 2006
This paper introduces an Automatic Target Recognition (ATR) method based on X Band Radar image processing. A software which implements this method was developed following four principal stages: digital image formation, image preprocessing, feature selection through a combination of C4.5 Decision Tree and PCA and classification using SVM.
Noslén Hernández-González, José Luís Gil Rodríguez, Jorge A. Martin, Francisco Silva-Mata, Ricardo González-Gazapo, Raúl Álvarez   +5 more
openaire   +1 more source

Maritime target identification in flash-ladar imagery

, 2022
Paper 83910C, 9 S.The paper presents new techniques and processing results for automatic segmentation, shape classification, generic pose estimation, and model-based identification of naval vessels in laser radar imagery.
Armbruster, Walter, Hammer, Marcus
core   +1 more source

Multi-Block Mixed Sample Semi-Supervised Learning for SAR Target Recognition

Remote Sensing, 2021
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, Jianguo Sun, Pengyuan Qi, Guisheng Yin, Liguo Zhang   +4 more
doaj   +1 more source

Variability and robustness of scatterers in HRR/ISAR ground target data and its influence on the ATR performance

, 2022
Paper 804911The most challenging problem of Automatic Target Recognition (ATR) is the extraction of robust and independent target features which describe the target unambiguously.
Schimpf, H., Schiller, J., Schumacher, R.   +2 more
core   +1 more source