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Sökning: id:"swepub:oai:DiVA.org:mdh-37336" > Algorithms for the ...

  • Al-Rawi, MohammedUniversidade de Aveiro, Portugal (författare)

Algorithms for the Detection of First Bottom Returns and Objects in the Water Column in Side-Scan Sonar Images

  • Artikel/kapitelEngelska2017

Förlag, utgivningsår, omfång ...

  • Aberdeen, United Kingdom,2017
  • printrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:mdh-37336
  • https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-37336URI
  • https://doi.org/10.1109/OCEANSE.2017.8084587DOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:kon swepub-publicationtype

Anmärkningar

  • Underwater imaging has become an active research area in recent years as an effect of increased interest in underwater environments and is getting potential impact on the world economy, in what is called blue growth. Since sound propagates larger distances than electromagnetic waves underwater, sonar is typically used for underwater imaging. One interesting sonar image setting is comprised of using two parts (left and right) and is usually referred to as sidescan sonar. The image resulted from sidescan sonars, which is called waterfall image, usually has to distinctive parts, the water column and the image seabed. Therefore, the edge separating these two parts, which is called the first bottom return, is the real distance between the sonar and the seabed bottom (which is equivalent to sensor primary altitude). The sensory primary altitude can be measured if the imaging sonar is complemented by interferometric sonar, however, simple sonar systems have no way to measure the first bottom returns other than signal processing techniques. In this work, we propose two methods to detect the first bottom returns; the first is based on smoothing cubic spline regression and the second is based on a moving average filter to detect signal variations. The results of both methods are compared to the sensor primary altitude and have been successful in 22 images out of 25.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Elmgren, FredrikDeepVision AB, Linköping, Sweden (författare)
  • Frasheri, MirgitaMälardalens högskola,Inbyggda system(Swepub:mdh)mfi01 (författare)
  • Curuklu, Baran,1969-Mälardalens högskola,Inbyggda system(Swepub:mdh)bcu01 (författare)
  • Yuan, XinUniversidad Politecnica de Madrid, Spain (författare)
  • Martínez, José-FernánUniversidad Politecnica de Madrid, Spain(Swepub:mdh)jmz02 (författare)
  • Bastos, JoaquimInstituto de Telecomunicações - Pólo de Aveiro, Portugal (författare)
  • Rodriguez, JonathanUniversidade de Aveiro, Portugal (författare)
  • Pinto, MarcECA Robotics, France (författare)
  • Universidade de Aveiro, PortugalDeepVision AB, Linköping, Sweden (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:OCEANS '17 A Vision for our Marine Future OCEANS '17Aberdeen, United Kingdom9781509052783

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