A Novel Method for Fast Processing of Large Remote Sensed Image

  • Adriano Mancini
  • Anna Nora Tassetti
  • Alessandro Cinnirella
  • Emanuele Frontoni
  • Primo Zingaretti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8157)


In this paper we present a novel approach to reduce the computational load of a CFAR detector. The proposed approach is based on the use of integral images to directly manage the presence of masked pixels or invalid data and reduce the computational time. The approach goes through the challenging problem of ship detection from remote sensed data. The capability of fast image processing allows to monitor the marine traffic and identify possible threats. The approach allows to significantly boost the performance up to 50x working with very high resolution image and large kernels.


Remote Sensing CFAR VHR imagery SAR ship detection integral image 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Adriano Mancini
    • 1
  • Anna Nora Tassetti
    • 2
  • Alessandro Cinnirella
    • 3
  • Emanuele Frontoni
    • 1
  • Primo Zingaretti
    • 1
  1. 1.Dipartimento di Ingegneria dell’InformazioneUniversità Politecnica delle Marche AnconaItaly
  2. 2.Dipartimento di Ingegneria Civile, Edile e ArchitetturaUniversit‘a Politecnica delle Marche AnconaItaly
  3. 3.Dipartimento di Scienze GeologicheUniversità degli Studi Roma TreItaly

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