Follow Us:

View Item 
  •   CMRE Open Library Home
  • CMRE Publications
  • Reprints
  • View Item
  •   CMRE Open Library Home
  • CMRE Publications
  • Reprints
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

The Mondrian detection algorithm for sonar imagery

Thumbnail
Abstract
A new algorithm called the Mondrian detector has been developed for object detection in high-frequency synthetic aperture sonar (SAS) imagery. If a second (low) frequency-band image is available, the algorithm can seamlessly exploit the additional information via an auxiliary prescreener test. This flexible single-band and multiband functionality fills an important capability gap. The algorithm's overall prescreener component limits the number of potential alarms. The main module of the method then searches for areas that pass a subset of pixel-intensity tests. A new set of reliable classification features has also been developed in the process. The overall framework has been kept uncomplicated intentionally in order to facilitate performance estimation, to avoid requiring dedicated training data, and to permit delayed real-time detection at sea on an autonomous underwater vehicle. The promise of the new algorithm is demonstrated on six substantial data sets of real SAS imagery collected at various geographical sites that collectively exhibit a wide range of diverse seafloor characteristics. The results show that, as with Mondrian's art, simplicity can be powerful.

URI
http://hdl.handle.net/20.500.12489/794

Report Number
CMRE-PR-2019-054

Source
In: IEEE Transactions on Geoscience and Remote Sensing, volume 56, issue 2, February 2018, pp. 1091-1102, doi: 10.1109/TGRS.2017.2758808

Collections
  • Reprints

Date
2019/06

Author(s)
Williams, David P.

Show full item record
CMRE-PR-2019-054.pdf (11.71Mb)

Browse

All of CMRE Open LibraryCommunities & CollectionsBy Issue DateAuthor(s)TitlesSubjectsTypeThis CollectionBy Issue DateAuthor(s)TitlesSubjectsType

My Account

LoginRegister

  • Contact Us
  • Send Feedback
  • Employment
  • Procurement
  • Fact Sheets
  • News Feed
  • Conditions of Use
  • Publications Feed
  • Press Release
  • News Archive
  • STO (Science and Technology Organization)
  • Find us on Facebook
  • Follow us on Twitter
  • Watch us on Youtube
  • Webmail
 

 

© 2018 STO-CMRE
Powered by KnowledgeArc