Please use this identifier to cite or link to this item:
|Title:||Change detection based on information measure|
|Authors:||GUEGUEN LIONEL; SOILLE Pierre; PESARESI Martino|
|Citation:||IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING vol. 49 no. 11 p. 4503-4515|
|Publisher:||IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC|
|JRC Publication N°:||JRC59639|
|Type:||Articles in Journals|
|Abstract:||A new unsupervised change detection method for modeling nonlinear temporal dependences based on local information is proposed. A theoretical analysis is presented, demonstrating how to derive optimal parameters for automating the method. It is then validated on both simulated data and very high resolution remote sensing imagery. The results show a clear improvement in change detection using the proposed method compared to other state-of-the-art change detection techniques.|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.