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Radar automatic target recognition for alterable noise environment
IET Conference Publications, 2009Noise level of radar target returned echoes is an essential issue for HRRP automatic target recognition, which will deteriorate recognition performance if test sample have different noise level compared with the training samples. Assuming that HRRP contains additive Gaussian white noise and HRRP signals of range cells are jointly Gaussian-distributed ...
Q.Y. Hou, H.W. Liu, F. Chen, Z. Bao
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Automatic Target Recognition From Inverse Synthetic Aperture Radar Images
2017In this chapter, Inverse Synthetic Aperture Radar, a special type of active microwave synthetic aperture radar is introduced and its applications in military surveillance are presented. Then, the basic principles involved in data acquisition and image generation are explained.
Hari Kishan Kondaveeti +1 more
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Synthetic aperture radar automatic target recognition based on curvelet transform
SPIE Proceedings, 2009A novel synthetic aperture radar (SAR) automatic target recognition (ATR) approach based on Curvelet Transform is proposed. However, the existing approaches can not extract the more effective feature. In this paper, our method is concentrated on a new effective representation of the moving and stationary target acquisition and recognition (MSTAR ...
Shuang Wang +3 more
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Robust radar automatic target recognition algorithm based on HRRP signature
Frontiers of Electrical and Electronic Engineering, 2012Automatic target recognition (ATR) is an important function for modern radar. High resolution range profile (HRRP) of target contains target structure signatures, such as target size, scatterer distribution, etc., which is a promising signature for ATR.
Hongwei Liu +3 more
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Automatic Target Recognition using Multipolar Bistatic Synthetic Aperture Radar Images
IEEE Transactions on Aerospace and Electronic Systems, 2010Radar is a coherent sensor, which makes it suitable for the retrieval of the polarization information of the scattering process. Different algorithms have been proposed in the last few decades regarding how to analyze multipolar radar information. The extra information retrieved from the multipolar data has been shown to give more information regarding
Amit Kumar Mishra, Mulgrew Bernard
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Automatic Target Recognition Using Multiple Radar High Range Resolution Profiles
2006 CIE International Conference on Radar, 2006Radar automatic target recognition (ATR) based on multiple high range resolution profiles (HRRPs) is concerned. To relax the target aspect sensitivity and use more statistical information of the HRRPs, in this paper we extract the average range profile and the variance range profile together as the feature vectors for both training data and test data ...
null Li Yuan, Hongwei Liu, Zheng Bao
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Synthetic aperture radar quantized grayscale reference automatic target recognition algorithm
Algorithms for Synthetic Aperture Radar Imagery XXV, 2018This paper presents a Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) baseline algorithm that uses a quantized grayscale matching (QGM) algorithm.10 QGM is a classifier that uses a template matching approach to identify the target, has been throughly tested as part of the MSTAR program,10 and has shown to be robust to fluctuation in ...
Travious Lewis +2 more
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Multi-task hidden Markov model for radar automatic target recognition
Proceedings of 2011 IEEE CIE International Conference on Radar, 2011A new radar high-resolution range profile (HRRP) target recognition method is presented via a multi-task learning truncated stick-breaking hidden Markov model (MTL TSB-HMM) with spectrogram feature of HRRP. Experimental results show this method has good recognition and rejection performance.
null Mian Pan +4 more
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Automatic radar target recognition of objects falling on railway tracks
Measurement Science and Technology, 2012This paper presents an automatic radar target recognition procedure based on complex resonances using the signals provided by ultra-wideband radar. This procedure is dedicated to detection and identification of objects lying on railway tracks. For an efficient complex resonance extraction, a comparison between several pole extraction methods is ...
Mroue, A. +4 more
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Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) Parametric Study
2003Abstract : SAR ATR is a very complex problem that still has not been mastered. SAR ATR is difficult largely due to the fact that SAR imagery exhibits large variability. SAR imagery is a function of many variables called operating conditions (OCs) that can be subdivided into three large groups.
Sam Sink, Kefu Xue
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