Spectral Synthesis for Geostationary Satellite-to-Satellite Translation
نویسندگان
چکیده
Earth-observing satellites carrying multispectral sensors are widely used to monitor the physical and biological states of atmosphere, land, oceans. These have different vantage points above Earth spectral imaging bands resulting in inconsistent imagery from one another. This presents challenges building downstream applications. What if we could generate synthetic for existing union all domains? We tackle problem generating as an unsupervised image-to-image translation modeled with a variational autoencoder (VAE) generative adversarial network (GAN) architecture. Our approach introduces novel shared reconstruction loss constrain high-dimensional feature space images. Simulated experiments performed by dropping or more show that cross-domain outperforms measurements obtained second point. proposed enables synchronization data provides basis homogeneous remote sensing datasets.
منابع مشابه
Analytical method for determining the statistics of interference between non-geostationary-satellite orbit fixed-satellite service systems and other non-geostationary-satellite orbit fixed-satellite service systems or geostationary-satellite orbit fixed-satellite service networks
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ژورنال
عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing
سال: 2022
ISSN: ['0196-2892', '1558-0644']
DOI: https://doi.org/10.1109/tgrs.2021.3088686