Title: Change detection based on information measure
Authors: GUEGUEN LIONELSOILLE PierrePESARESI Martino
Citation: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING vol. 49 no. 11 p. 4503-4515
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Year: 2011
JRC N°: JRC59639
ISSN: 0196-2892
URI: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05776675
http://publications.jrc.ec.europa.eu/repository/handle/JRC59639
DOI: 10.1109/TGRS.2011.2141999
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

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