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Multi-resolution Technique-Based Oil Spill Look-Alikes Detection in X-Band SAR Data

  • Mari-Cortes Benito-Ortiz
  • David Mata-MoyaEmail author
  • Maria-Pilar Jarabo-Amores
  • Miguel Maganto-Pascual
  • Pedro-Jose Gomez-del-Hoyo
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 797)

Abstract

This paper tackles the oil spill look-alikes detection based on multi-resolution technique using Synthetic Aperture Radar (SAR) images acquired in X band. SAR sensors are powerful tools for Earth Observation but automatic interpretation is very difficult. As oil spills appear as dark spots, the first processing stage is the look-alikes detection. A segmentation based on texture parameters, to define the potential areas with dark spots, and sea clutter statistics, to determine an adaptive threshold, is proposed. The dark spot detection scheme is evaluated with real X-Band SAR data, and detection performances allow to improve the accuracy in later feature extraction tasks.

Keywords

SAR data Multi-resolution technique Radar detection Radar image processing 

Notes

Acknowledgements

This work has been partially funded by the Spanish “Ministerio de Economía, Industria y Competitividad,” under project TEC2015-71148-R, the University of Alcalá, under project CCG2017/EXP056 and by Hisdesat under project 37/2016.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Mari-Cortes Benito-Ortiz
    • 1
  • David Mata-Moya
    • 1
    Email author
  • Maria-Pilar Jarabo-Amores
    • 1
  • Miguel Maganto-Pascual
    • 1
  • Pedro-Jose Gomez-del-Hoyo
    • 1
  1. 1.Signal Theory and Communications Department, Superior Polytechnic SchoolUniversity of AlcaláAlcalá de HenaresSpain

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