Skip to main navigation Skip to search Skip to main content

A 'dynamic' land masking algorithm for synthetic aperture radar images

  • W. Biamino
  • , M. Borasi
  • , M. Cavagnero
  • , A. Croce
  • , L. Di Matteo
  • , F. Fontebasso
  • , F. Tataranni
  • , P. Trivero

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A novel approach to land masking in synthetic aperture radar (SAR) images is designed and implemented. The developed algorithm takes as input an archived shoreline from a public domain database and modifies it to draw the actual shoreline on SAR images by analysing backscatter values. Starting with data from the GSHHS (the global self-consistent hierarchical high-resolution shoreline database), coastline positioning is improved by evaluating the radiometric intensity gradient in coastal areas of the SAR image. A further enhancement is obtained by applying the Canny edge detection algorithm. The methodology is tested on Envisat and ERS images, as well as on ALOS and COSMO SkyMed images.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4324-4327
Number of pages4
ISBN (Electronic)9781479979295
DOIs
Publication statusPublished - 10 Nov 2015
Externally publishedYes
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 26 Jul 201531 Jul 2015

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2015-November

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/TerritoryItaly
CityMilan
Period26/07/1531/07/15

Keywords

  • GSHHS
  • SAR
  • georeferencing
  • shoreline

Fingerprint

Dive into the research topics of 'A 'dynamic' land masking algorithm for synthetic aperture radar images'. Together they form a unique fingerprint.

Cite this