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Unsupervised Bayesian change detection for remotely sensed images

Gharbi, Walma and Chaari, Lotfi and Benazza-Benyahia, Amel Unsupervised Bayesian change detection for remotely sensed images. (2020) Signal, Image and Video Processing - SIVIP, 14. 1-8. ISSN 1863-1703

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Official URL: https://doi.org/10.1007/s11760-020-01738-9

Abstract

The availability of remote sensing images with high spectral, spatial and temporal resolutions has motivated the design of new change detection (CD) methods for surveying changes in a studied area. The challenge of unsupervised CD is to develop flexible automatic models to estimate changes. In this paper, we propose a novel hierarchical Bayesian model for CD. Our main contribution lies in the application of Bernoulli-based models to change detection and transforming it to a denoising problem. The originality is related to the capacity of these models to act as implicit classifiers in addition to the denoising effect since even for changed pixels noise is also removed. The second originality lies in the way inference is conducted. Specifically, the hierarchical Bayesian model and Gibbs sampler ensure building an algorithm with secure convergence guarantees. Experiments performed on real data indicate the benefit that can be drawn from our approach.

Item Type:Article
Additional Information:Thanks to Springer Nature editor. This papers appears in SIVP ISSN 1863-1703 The original PDF is available at: https://link.springer.com/article/10.1007/s11760-020-01738-9
HAL Id:hal-02950804
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Digital Research Center of Sfax (TUNISIA)
Other partners > Université de Carthage (TUNISIA)
Other partners > Université de Sfax (TUNISIA)
Laboratory name:
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Deposited On:21 Sep 2020 12:22

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