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Sökning: id:"swepub:oai:DiVA.org:bth-22626" > Non-Cooperative SAR...

Non-Cooperative SAR Automatic Target Recognition Based on Scattering Centers Models

Araujo, Gustavo F. (författare)
Aeronautics Institute of Technology, BRA
Machado, Renato (författare)
Aeronautics Institute of Technology, BRA
Pettersson, Mats, 1966- (författare)
Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap
 (creator_code:org_t)
2022-02-08
2022
Engelska.
Ingår i: Sensors. - : MDPI. - 1424-8220. ; 22:3
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • This article proposes an Automatic Target Recognition (ATR) algorithm to classify non-cooperative targets in Synthetic Aperture Radar (SAR) images. The scarcity or nonexistence of measured SAR data demands that classification algorithms rely only on synthetic data for training purposes. Based on a model represented by the set of scattering centers extracted from purely synthetic data, the proposed algorithm generates hypotheses for the set of scattering centers extracted from the target under test belonging to each class. A Goodness of Fit test is considered to verify each hypothesis, where the Likelihood Ratio Test is modified by a scattering center-weighting function common to both the model and target. Some algorithm variations are assessed for scattering center extraction and hypothesis generation and verification. The proposed solution is the first model-based classification algorithm to address the recently released Synthetic and Measured Paired Labeled Experiment (SAMPLE) dataset on a 100% synthetic training data basis. As a result, an accuracy of 91.30% in a 10-target test within a class experiment under Standard Operating Conditions (SOCs) was obtained. The algorithm was also pioneered in testing the SAMPLE dataset in Extend Operating Conditions (EOCs), assuming noise contamination and different target configurations. The proposed algorithm was shown to be robust for SNRs greater than −5 dB. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

Nyckelord

Automatic target recognition
Data mining
Radar target recognition
Statistical tests
Synthetic aperture radar
Classification algorithm
Non-cooperative
Non-cooperative target
Radar data
Scattering center models
Scattering centers
Synthetic aperture radar automatic target recognition
Synthetic aperture radar images
Synthetic data
Target recognition algorithms
Classification (of information)
Classification
Scattering center

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Av författaren/redakt...
Araujo, Gustavo ...
Machado, Renato
Pettersson, Mats ...
Om ämnet
TEKNIK OCH TEKNOLOGIER
TEKNIK OCH TEKNO ...
och Elektroteknik oc ...
och Signalbehandling
Artiklar i publikationen
Sensors
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Blekinge Tekniska Högskola

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