Seeing beyond the visible: become the one whose algorithm will fly into space onboard the Intuition-1 satellite

We only have just one Earth that offers us the ability to dwell, so why not exploit the slicing-edge airborne and satellite hyperspectral imaging technological innovation for far more sustainable agriculture and a much better future for our planet? Which is the target of the obstacle established by KP Labs and ESA and partner QZ Answers. The problem starts off on February 2022 and will pave a way for the contesting groups to revolutionize the future of farming.

Impression credit history: Pixabay (Free of charge Pixabay license)

The main goal of the “Seeing past the visible” obstacle is to automate the process of estimating soil parameters by extracting the details from airborne hyperspectral visuals obtained more than agricultural areas in Poland. The inspiration driving the challenge is the impending Intuition-1 mission, which aims to keep track of the surface area of Earth working with a hyperspectral instrument and an onboard computing device able of processing information making use of artificial intelligence in orbit.

The winners will have a exclusive chance to deploy their answer onboard Instinct-1 – a 6U-class satellite created by KP Labs, which is scheduled for start in Q1 2023. In addition, the groups with the best outcomes will be invited to co-creator a paper summarizing the obstacle in a prime-tier journal.

This problem is portion of the IEEE International Meeting on Impression Processing (ICIP) 2022 at which the final results and the successful group will be exposed. All authors can summarize their alternatives in a meeting paper and submit it to IEEE ICIP.

Reaching for the stars has now turn into extremely easy. How to do it? Just indication up for the obstacle: AI4EO, and have the chance to go away your mark in outer place. It’s your algorithm and our Instinct-1 satellite that can fly into orbit collectively and do a thing wonderful for our planet! Let’s see into the long run – with #HYPERVIEW!

Supply: AI4EO

Maria J. Danford

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