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High-resolution imaging, and particularly video sensors are gaining interest by the space industry during the last years, up to the point that the main space agencies have included in their roadmap the development of different processing stages for their efficient management on-board satellites. This is relevant because the high volume of data generated by these kind of sensors, which make difficult either send or store it in raw format. One of the main objectives of the European H2020-funded VIDEO project is to provide some tools to detect on-the-fly different targets during an Earth Observation mission to then smartly compress the acquired video considering different level of loses depending on the frame content. Currently, the VIDEO project is in its last phase, so a demonstrator is on-going to evaluate the viability of the proposed instrument and its associated processing chain. In this work, the main features of this demonstrator are presented and some preliminary conclusions of the project are summarized.
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Barrios et al. (2023) studied this question.
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