Abstract
In this contribution we analyze the problem of the fusion of time series of heterogeneous remote sensing images to serve classification and monitoring activities which can aid farming applications such as crop classification, change detection and monitoring. We propose several soft fusion operators that are based on different assumptions and model distinct desired properties. Conducted experiments on various geographic regions have been carried out and illustrate the effectiveness of our proposal.
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Bisquert, M., Bordogna, G., Boschetti, M., Poncelet, P., Teisseire, M. (2014). Soft Fusion of Heterogeneous Image Time Series. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 442. Springer, Cham. https://doi.org/10.1007/978-3-319-08795-5_8
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DOI: https://doi.org/10.1007/978-3-319-08795-5_8
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08794-8
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