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Automatic target detection in SAR-images
2004 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This report describes detection of stationary targets in high resolution SAR (Synthetic Aperture Radar) images. Evaluation, performance of prescreening algorithms and discriminant features are presented. The discrimination analysis makes use of two-class discrimination, instead of one-class discrimination used by the Lincoln Laboratory.

Place, publisher, year, edition, pages
2004.
Keyword [en]
Technology, SAR, radar, automatic target recognition, detection, images, mahalanobis, discrimination
Keyword [sv]
Teknik
Identifiers
URN: urn:nbn:se:ltu:diva-47417ISRN: LTU-EX--04/010--SELocal ID: 4f631d81-4aab-47f8-a9de-c4b815354366OAI: oai:DiVA.org:ltu-47417DiVA: diva2:1020739
Subject / course
Student thesis, at least 30 credits
Educational program
Engineering Physics, master's level
Examiners
Note
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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Citation style
  • apa
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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