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Survey of radar superresolution methods with applications to automatic target recognition

SPIE Proceedings, 1998
Resolution 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
openaire   +1 more source

A robust algorithm for automatic target recognition using passive radar

Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the, 2004
The 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
openaire   +1 more source

Automatic radar target recognition of objects falling on railway tracks

Measurement Science and Technology, 2012
This 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
openaire   +1 more source

Automatic Target Recognition From Inverse Synthetic Aperture Radar Images

2017
In 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
openaire   +1 more source

Using the Amplitude Fluctuation Property of Target HRRP for Radar Automatic Target Recognition

2006 CIE International Conference on Radar, 2006
Due 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
openaire   +1 more source

Exploitation of target shadows in synthetic aperture radar imagery for automatic target recognition

SPIE Proceedings, 2006
The 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
openaire   +1 more source

(Automatic) target detection in synthetic aperture radar imagery via terrain recognition

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002
Surveillance 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.
openaire   +2 more sources

Target-attentional CNN for Radar Automatic Target Recognition with HRRP

Signal Processing, 2022
Jian Chen 0034   +4 more
openaire   +1 more source

Logarithm bispectrum-based approach to radar range profile for automatic target recognition

Pattern Recognition, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bingnan Pei   +2 more
openaire   +1 more source

High Resolution Radar Automatic Target Recognition Based on an Improved LDA Method

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
A 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
openaire   +1 more source

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