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In the past, high resolution SAR data was largely reserved for government and defense applications, Andrew Ulmer, Capella business development vice president, said in an Aug. SpaceNet may incorporate SAR in its sixth challenge scheduled to begin in early 2020, Lewis said. We couldn’t be more excited to explore what it’s like to combine both electro-optical and SAR to solve a foundational mapping problem.” “While we’ve seen tremendous improvement in the models that we’ve open-sourced through our internal research as well as through our challenges, we’re now ready and the open-source communities is ready to tackle the next step, which is applying two different types of data simultaneously to solve one problem. “The partners have collectively agreed that geospatial mapping challenges are rarely resolved with just one type of data,” Lewis said.

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“That’s why we think it’s an optimal time to be focusing on how to incorporate SAR into a future challenge.”īefore Capella joined, SpaceNet partners were CosmiQ Works, Maxar Technologies, Intel AI and Amazon Web Services. Since the first challenge in 2016, “we have seen the community grow over time in the maturity of their solutions,” Lewis said. “Working with partners like CosmiQ Works and the SpaceNet team, we will make sure that there’s a good array of open source tools that can easily plug and play with our dataset,” Soenen said.įor SpaceNet’s fifth and most recent challenge, competitors are automatically identifying roads and determining optimal routes based on travel times by applying artificial intelligence to satellite imagery. “At Capella, we want to break down those barriers to entry in working with SAR and make sure that we’re providing products that are easy to work with,” Soenen said. SAR satellites also gather imagery and data through clouds, smoke and at night. While some people perceive SAR data to be more difficult to work with than electro-optical imagery, one of the datasets it provides is so similar that some of the same computer vision tools will work on electro-optical and SAR data, Soenen said. “We will have a high resolution, hourly dataset to contribute to the SpaceNet challenges in advance of the routine operations of Sequoia.” “We’ve collected aerial data and produced it according to our product specifications for our upcoming satellite data,” Soenen said. Capella plans to launch its first operational spacecraft, Sequoia, in early 2020.Ĭapella also is capturing imagery with its SAR payload on an aircraft. The company has not publicly released data from that spacecraft. Capella launched its first satellite in December 2018.

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Having data out there under an open license is going to foster the development of nontraditional applications for SAR data.”Ĭapella has raised more than $50 million for a constellation of 36 SAR satellites designed to capture imagery with a resolution of 50 centimeters and revisit sites hourly. “This is the first step in our engagement with the broader community.

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“Looking ahead, we want to see the same occur not just for imagery but also for SAR data,” he told SpaceNews.įor Capella, joining SpaceNet is a good way “to get SAR data into the hands of a broader range of data scientists and software engineers,” said Scott Soenen, Capella product engineering vice president. SpaceNet has helped expand geospatial research and applications for electro-optical satellite imagery, said Ryan Lewis, SpaceNet general manager and senior vice president at In-Q-Tel, the venture capital arm of U.S.

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SpaceNet provides free high-resolution electro-optical satellite imagery, advertises challenges and awards cash prizes to encourage people to test and refine image analysis tools. SpaceNet was established in 2016 by CosmiQ Works, the In-Q-Tel organization focused on commercial space, and DigitalGlobe, now part of Maxar Technologies.

SAN FRANCISCO – Capella Space, a startup building a constellation of synthetic aperture radar (SAR) satellites, is joining SpaceNet, a nonprofit focused on geospatial applications for artificial intelligence.

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