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Proceedings ArticleDOI

High range resolution ground moving target atr using advanced space-based sar/mti concepts

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TLDR
In this article, a preliminary investigation into a space-based multi-class system-oriented High Range Resolution (HRR) Automatic Target Recognition (ATR) algorithm is presented.
Abstract
This paper smmnarizes a preliminary investigation into a space-based multi-class system-oriented High Range Resolution (HRR) Automatic Target Recognition (ATR) algorithm. Recent conflicts have highlighted the need to detect, track and recognize time critical moving ground targets in all-weather standoff (airborne and space-based) sensor platforms. Current sensor technologies based on Moving Target Indication (MTI) and/or Synthetic Aperture Radar (SAR) imaging are inadequate. While MT1 provides the ability to detect and track ground moving targets, it lacks target discrimination capability due to limited bandwidth. SAR has target discrimination capability for stationary targets, but target motion will blur the image. As a result, ATR of ground moving targets using HRR radar has recently received increased interest within the Air Force. The baseline algorithms presented in this paper are template-based mean squared error classifiers. The paper includes a brief introduction into recent HRR ATR efforts at the Air Force Research Laboratory Sensors Directorate's ATR Assessment Branch (AFRL/SNAA). Motivations and limitations for space- based sensors are discussed along with potential sensor fusion algorithms. The paper concludes by discussing the advantages of HRR ATR for feature aided

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Citations
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Dissertation

Aircraft recognition from features extracted from measured and simulated radar range profiles

TL;DR: This dissertation aims to provide a history of web exceptionalism from 1989 to 2002, a period chosen in order to explore its roots as well as specific cases up to and including the year in which descriptions of “Web 2.0” began to circulate.
Proceedings ArticleDOI

A neural network ATR for high range resolution radar signature recognition of moving ground targets

D. Gross
TL;DR: The results on an initial investigation of the use of artificial neural network (ANN) classifiers for HRR ATR in a continuous tracking (CT) scenario are presented.
Proceedings ArticleDOI

Model-based range extent for feature aided tracking

J. Schmitz, +1 more
TL;DR: This approach uses high HRR profiles generated from scattering centers to window the HRR signal to aid in the determination of the range extent and is based on the signal levels inside and outside the window (signal versus clutter).
Proceedings ArticleDOI

Improving high range resolution ATR performance with average absolute error metric

TL;DR: This paper represents a preliminary investigation into MSE metric used in matching algorithm, and indicates its shortcomings such as random coefficients distorting the difference between profiles in mathematical calculation, excessive emphasis on large difference, and lack of reasonable interpretation in physical distance space.
References
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Book

Introduction to Radar Systems

TL;DR: This chapter discusses Radar Equation, MTI and Pulse Doppler Radar, and Information from Radar Signals, as well as Radar Antenna, Radar Transmitters and Radar Receiver.
Proceedings ArticleDOI

1D HRR data analysis and ATR assessment

TL;DR: Ongoing research under the System Oriented HRR Automatic Recognition Program has led to an increased understanding of the HRR data, the target separability, and a baseline assessment of target recognition algorithms using template based approaches.
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