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A semantic-based multilevel approach to change detection in very high geometrical resolution multitemporal images

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2 Author(s)
Bruzzone, L. ; Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy ; Bovolo, F.

This paper addresses the problem of change detection (CD) in very high geometrical resolution (VHR) multitemporal images. In this context, we propose a conceptual framework that aims at defining: i) a taxonomy of different radiometric changes occurring when dealing with VHR remote sensing images; and ii) a global approach to the definition of the architecture of effective CD methods for VHR images. This framework defines precise guidelines for the development of a new generation of CD methods that can properly analyze multitemporal VHR images. The proposed framework is illustrated in the definition of a change detection method for the solution of a specific real problem related to the analysis of multitemporal QuickBird images.

Published in:

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Date of Conference:

24-29 July 2011