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Wavelength-resolution SAR change detection with constant false alarm rate
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-6643-312x
Universidade Federal de Santa Maria, BRA.
Saab Electronic Defense Systems, SWE.
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2017 (English)In: 2017 IEEE Radar Conference, RadarConf 2017, Institute of Electrical and Electronics Engineers Inc. , 2017, 1504-1508 p.Conference paper, Published paper (Refereed)
Abstract [en]

The paper introduces an incoherent change detection algorithm with constant false alarm rate (CFAR). The algorithm is based on a CFAR detector that preceded with an adaptive noise smoothing filter while the input of the filter is preliminary changes retrieved from a subtraction of surveillance SAR image to reference SAR image. The algorithm is tested with 24 data sets provided by CARABAS. The average probability of detection calculated for 1200 deployed vehicles is up to 96% while the false alarm rate calculated for an area of 288 square kilometers is only 0.15 per square kilometer. In our test, the algorithm did not require a longer processing time than other wavelength-resolution SAR change detection algorithms. Based on these evaluations, the introduced algorithm is seen to be effective. © 2017 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2017. 1504-1508 p.
Series
IEEE Radar Conference, ISSN 1097-5764
Keyword [en]
Alarm systems, Errors, Radar, Radar imaging, Signal detection, Adaptive noise, Change detection, Change detection algorithms, Constant false alarm rate, False alarm rate, Probability of detection, Processing time, Wavelength resolution, Synthetic aperture radar
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing
Identifiers
URN: urn:nbn:se:bth-15011DOI: 10.1109/RADAR.2017.7944445ISI: 000405307600286Scopus ID: 2-s2.0-85021454303ISBN: 9781467388238 OAI: oai:DiVA.org:bth-15011DiVA: diva2:1135419
Conference
2017 IEEE Radar Conference, RadarConf, Seattle
Available from: 2017-08-23 Created: 2017-08-23 Last updated: 2017-08-24Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf