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Information theoretical similarity measure for change detection

Cui, Shiyong and Datcu, Mihai and Lionel, Guengen (2011) Information theoretical similarity measure for change detection. In: Joint Urban Remote Sensing Event (JURSE), pp. 69-72. Joint Urban Remote Sensing Event (JURSE), 2011 , 11-13 Apr 2011, Munich, Germany.

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5764721

Abstract

In this paper, mixed information similarity measure and a multidimensional density estimation method based on multivariate Edgeworth series expansion are proposed and assessed for the task of multi-temporal change detection. To unify mutual information and variational information, mixed information is proposed to quantify the degree of dependence between two random variables, which are intuitively appropriate for multi-temporal change detection. In the literature, Edgeworth series expansion is widely used in statistics and various engineering fields for one-dimensional density estimation. To compute the mixed information measure, multidimensional density estimation based on multivariate Edgeworth series expansion is proposed and evaluated. Two experiments on real SAR images and optical images are carried out to evaluate the performance of change detection. Experimental results confirm the promising capability of mixed information and the multivariate density estimation based on Edgeworth series expansion.

Item URL in elib:https://elib.dlr.de/72632/
Document Type:Conference or Workshop Item (Paper)
Title:Information theoretical similarity measure for change detection
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cui, ShiyongDLRUNSPECIFIED
Datcu, MihaiDLRUNSPECIFIED
Lionel, GuengenJRCUNSPECIFIED
Date:11 April 2011
Journal or Publication Title:Joint Urban Remote Sensing Event (JURSE)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 69-72
Status:Published
Keywords:Image processing, Change detection, Density estimation
Event Title:Joint Urban Remote Sensing Event (JURSE), 2011
Event Location:Munich, Germany
Event Type:international Conference
Event Dates:11-13 Apr 2011
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Cui, Shiyong
Deposited On:09 Dec 2011 11:47
Last Modified:31 Jul 2019 19:33

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