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• W2290211451 abstract "This paper presents a fusion method to combine aerial images from a low flying Unmanned Aerial Vehicle (UAV) with images of other spectral bands from sources such as satellites or commercial hyperspectral imagers. The proposed method propagates information from high-resolution images into other low-resolution modalities while allowing the images to have different spectral channels. This means the relationship between the high-resolution and low-resolution channels is expected to be non-deterministic, non-linear and non-stationary. A novel Gaussian Process (GP) framework was developed to define a stochastic prior over the estimated images. Its covariance function is computed to replicate the local structure of the high-resolution image, and allows the model to infer a high-resolution estimate from a low-resolution channel. Results are presented for natural images acquired by a UAV in a farmland mapping application." @default.
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• W2290211451 date "2013-06-23" @default.
• W2290211451 modified "2023-09-22" @default.
• W2290211451 title "Bayesian Fusion for Multi-Modal Aerial Images" @default.
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• W2290211451 doi "https://doi.org/10.15607/rss.2013.ix.025" @default.
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