Survey of radar superresolution methods with applications to automatic target recognition
SPIE Proceedings, 1998Resolution is a fundamental limitation of any processing based on radar data. Conventional radar imaging techniques, in general, make use of the FFT to determine the spatial location of a target from its scattered field. The resolution of these images is limited by the bandwidth of the interrogating radar system and the aspect angle sector over which ...
Raman K. Mehra +2 more
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A robust algorithm for automatic target recognition using passive radar
Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the, 2004The goal of this research is to add automatic target recognition (ATR) capabilities to existing passive radar systems. We do so by comparing the radar cross section (RCS) of detected targets to the precomputed RCS of known targets in the target class. The precomputed RCS of the targets comprising the target class is modeled using a multi-step process ...
L.M. Elirman, A.D. Lanterman
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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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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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Using the Amplitude Fluctuation Property of Target HRRP for Radar Automatic Target Recognition
2006 CIE International Conference on Radar, 2006Due to the aspect sensitivity of high-resolution range profile (HRRP), traditional radar HRRP target recognition methods usually use average profile within some target-aspect region as the target-aspect template. Actually, the amplitude fluctuation property of target HRRP also represents some feature information of the target.
Lan Du, Hongwei Liu, Zheng Bao
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Exploitation of target shadows in synthetic aperture radar imagery for automatic target recognition
SPIE Proceedings, 2006The utility of target shadows for automatic target recognition (ATR) in synthetic aperture radar (SAR) imagery is investigated. Although target shadow, when available, is not a powerful target discriminating feature, it can effectively increase the overall accuracy of the target classification when it is combined with other target discriminating ...
John A. Saghri, Andrew DeKelaita
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(Automatic) target detection in synthetic aperture radar imagery via terrain recognition
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002Surveillance of large areas of the Earth's surface is often undertaken with low resolution synthetic aperture radar (SAR) imagery from either a satellite or a plane. There is a need to process these images with automatic target detection (ATD) algorithms.
Paget R., Homer J., Crisp D.
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Target-attentional CNN for Radar Automatic Target Recognition with HRRP
Signal Processing, 2022Jian Chen 0034 +4 more
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Logarithm bispectrum-based approach to radar range profile for automatic target recognition
Pattern Recognition, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bingnan Pei +2 more
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High Resolution Radar Automatic Target Recognition Based on an Improved LDA Method
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008A novel improved linear discriminant analysis (ILDA) method is presented. Comparing with LDA, under the condition of d < c -1, d and c are the dimensionality of feature subspace and the number of classes respectively, ILDA uniformly preserves the class distances of classpairs by rearranging the contribution of each class-pair to the generalized between-
Jing Liu 0018 +2 more
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