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Performance assessment of a recent change detection method for homogeneous and heterogeneous images

Prendes, Jorge and Chabert, Marie and Pascal, Frédéric and Giros, Alain and Tourneret, Jean-Yves Performance assessment of a recent change detection method for homogeneous and heterogeneous images. (2015) Revue Française de Photogrammétrie et de Télédétection, vol. 209. pp. 23-29. ISSN 1768-9791

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Official URL: http://www.sfpt.fr/rfpt/index.php/RFPT/article/view/216

Abstract

A statistical model for detecting changes in remote sensing images has recently been proposed in (Prendes et al., 2014a,b). This model is sufficiently general to be used for homogeneous images acquired by the same kind of sensors (e.g., two optical images from Pléiades satellites, possibly with different acquisition conditions), and for heterogeneous images acquired by different sensors (e.g., an optical image acquired from a Pléiades satellite and a synthetic aperture radar (SAR) image acquired from a TerraSAR-X satellite). This model assumes that each pixel is distributed according to a mixture of distributions depending on the noise properties and on the sensor intensity responses to the actual scene. The parameters of the resulting statistical model can be estimated by using the classical expectation-maximization (EM) algorithm. The estimated parameters are finally used to learn the relationships between the images of interest, via a manifold learning strategy. These relationships are relevant for many image processing applications, particularly those requiring a similarity measure (e.g., image change detection and image registration). The main objective of this paper is to evaluate the performance of a change detection method based on this manifold learning strategy initially introduced in (Prendes et al., 2014a,b). This performance is evaluated by using results obtained with pairs of real optical images acquired from Pléiades satellites and pairs of optical and SAR images.

Item Type:Article
Additional Information:Thanks to Société Française de Photogrammétrie et de Télédétection. The definitive version is available at http://www.sfpt.fr/rfpt/index.php/RFPT/ The original PDF of the article can be found at Revue Française de Photogrammétrie et de Télédétection (ISSN: 1768-9791) website: http:/XXX http://www.sfpt.fr/rfpt/index.php/RFPT/article/view/216
Audience (journal):National peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National des Etudes Spatiales - CNES (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Ecole Nationale de l'Aviation Civile - ENAC (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > Ecole Supérieure d'Electricité - SUPELEC (FRANCE)
Other partners > Thales (FRANCE)
Other partners > Telecom ParisTech (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:22 Sep 2016 13:25

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