Adaptive model based change detection in temporal SAR satellite image sequences

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Context and objectives

The project aims at the development of more advanced techniques for change detection by making use of semantic information in the form of reference images. Instead of detecting the changes at the level of the individual pixels it is intended to detect changes at higher semantic level by using model based segmentation techniques.

Methods for the automatic construction of the models of the context will be developed.

The research will focus on monitoring using temporal SAR-satellite imagery. The specific speckle noise is problematic for change detection methods based on image differences. Segmentation methods that exploit textural homogeneity will be studied.

Project outcome

Expected scientific results

Project leader(s): UGent - Image Processing and Interpretation Research Group (IPI)
Location: Region:
  • Brussels,Leuven,Mechelen

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