Shape detection of structural changes in long time-span aerial image samples by new saliency methods

Andrea Kovacs, Tamas Sziranyi

Research output: Contribution to journalConference article


The paper presents a novel, theoretically well-based methodology to find changes in remote sensing image series. The proposed method finds changes in images scanned with a long time-interval difference in very different lighting and surface conditions. The presented method is basically an exploitation of the Harris saliency function and its derivatives for finding featuring points among image samples; then a new local descriptor will be demonstrated by generating local active contours; a graph based shape descriptor will be shown based on the saliency points of the difference and in-layer features; finally, we prove the method's capabilities for finding structural changes on remote sensing images.

Original languageEnglish
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Issue number1W17
Publication statusPublished - Jan 1 2015
EventISPRS Istanbul Workshop 2010 on Modeling of Optical Airborne and Spaceborne Sensors - Istanbul, Turkey
Duration: Oct 11 2010Oct 13 2010



  • Active contours
  • Aerial photos
  • Change detection
  • Harris corner function
  • Saliency points

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development

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