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Change Detection in VHR Images Based on Morphological Attribute Profiles

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5 Author(s)
Nicola Falco ; Faculty of Electrical and Computer Engineering, University of Iceland , Reykjavik, Iceland ; Mauro Dalla Mura ; Francesca Bovolo ; Jon Atli Benediktsson
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A new approach to change detection in very high resolution remote sensing images based on morphological attribute profiles (APs) is presented. A multiresolution contextual transformation performed by APs allows the extraction of geometrical features related to the structures within the scene at different scales. The temporal changes are detected by comparing the geometrical features extracted from the image of each date. The experiments performed on panchromatic QuickBird images related to an urban area show the effectiveness of the proposed technique in detecting changes on the basis of the spatial morphology by preserving geometrical detail.

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IEEE Geoscience and Remote Sensing Letters  (Volume:10 ,  Issue: 3 )