From 2009 through 2019, NASA’s Operation IceBridge sent out observation flights over the Arctic, Antarctic, and Alaska. Those 11 years of flights produced detailed data on the dimensions and fluxes of ...

Deep learning has tremendous potential to leverage the massive quantities of data available from remote sensing platforms. At SARLab, we have access to terrabytes of RADARSAT-2 synthetic aperture ...

Rohde & Schwarz is hosting a webinar that explores advanced solutions for classifying radar and EW signals using RF capture, ...

Tomorrow.io’s plan is to create a new space-based radar infrastructure with a modern twist. Its satellites are small (only 85 kilograms) and use the Ka-band exclusively.

Deep Learning in Wireless Systems (examples): Learn how deep-learning techniques can be applied to wireless applications. See additional 5G, radar, and EW resources , including those referenced in ...

Deep learning works by using multilayered neural networks. To make sense of the data they are fed, such as photos, neural networks pass it through an interconnected layer of nodes beginning with ...

Using deep-learning models will also eventually allow researchers to expand the type of data they use to forecast seismicity. “We’re recording ground motion all the time,” said Brodsky. “So the next ...