The Ohio River Paddlefest attracts around 2,000 participants each year for a 9-mile journey past downtown Cincinnati in canoes, kayaks, and other human-powered watercraft. What does the nation’s largest paddling celebration look like in satellite imagery? The answer may surprise you. We collaborated with Umbra to capture an image using one of their satellites equipped with synthetic aperture radar (SAR)—a powerful sensor that works day and night, through all weather conditions. SAR’s unique capabilities go even further, allowing it to detect objects in motion, including something as small as a kayak just a few meters in length. There's a type of image processing that generates color images from SAR to highlight moving objects that would otherwise be difficult to detect. In this case, small watercraft show up as streaks. The scenarios where this technology proves valuable are quite different from Paddlefest—illegal fishing and trafficking come to mind. For now, however, let’s turn our attention back to the Ohio River to illustrate this technique, known as Color Sub-Aperture Image (CSI) generation. The GIF below displays a SAR image captured on the day of the event, with and without the CSI tool applied. Can you spot the difference? What do you think are some scenarios where this technique could be useful?
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Machine Learning Researcher with 20 Years of Experience in Signal Processing and Domain-Enriched Machine Learning
2moHave you back calculated the speed of the kayakers based on the platform motion and each kayaker PSF?