Skip to Main content Skip to Navigation
New interface
Conference papers

Soft fusion of heterogeneous image time series

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.
Document type :
Conference papers
Complete list of metadata
Contributor : Migration Irstea Publications Connect in order to contact the contributor
Submitted on : Friday, December 11, 2020 - 11:13:31 AM
Last modification on : Thursday, October 13, 2022 - 8:26:54 AM


Files produced by the author(s)



Mar Bisquert, Gloria Bordogna, Mirco Boschetti, Pascal Poncelet, Maguelonne Teisseire. Soft fusion of heterogeneous image time series. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Jul 2014, Montpellier, France. pp.67-76, ⟨10.1007/978-3-319-08795-5_8⟩. ⟨hal-02601104⟩



Record views


Files downloads