IQT Labs explore the art of the possible in emerging technology areas of interest to national security. These include cybersecurity, biotechnology, commercial space, and advanced data analytics.
Updating maps is currently a highly manual process requiring a large number of human labelers to either create features or rigorously validate automated outputs. We propose that the frequent revisits of earth imaging satellite constellations may accelerate existing efforts to quickly update foundational maps when combined with advanced machine learning techniques.
Puerto Rico suffered severe damage from the category 5 hurricane (Maria) in September 2017. Total monetary damages are estimated to be ~92 billion USD, the third most costly tropical cyclone in US history. The response to this damage has been tempered and slow moving, with recent estimates placing 45% of the population without power three months after the storm.
Detecting small objects over large areas remains a significant challenge in satellite imagery analytics. We propose a pipeline (SIMRDWN) that evaluates satellite images of arbitrarily large size at native resolution at a rate of > 0.2 km2/s.
A look into DNA sequences as part of Lab41's genomics research.
The SpaceNet 4: Off-nadir building detection challenge has begun, and participants are vying for $50,000 of prize money by competing to see who can most accurately identify buildings in 27 different WorldView 2 satellite image collects taken at different angles over Atlanta.
Rapid detection of small objects over large areas remains one of the principal drivers of interest in satellite imagery analytics. This blog introduces the Satellite Imagery Multiscale Rapid Detection with Windowed Networks (SIMRDWN) framework.
SpaceNet is proud to release the Off-Nadir Imagery dataset, specifically built to explore advanced algorithms capabilities to process high off-nadir imagery. The dataset includes 27 WorldView 2 Satellite images from 7 degrees to 54 degrees off-nadir all captured within five minutes of each other.
Hacktoberfest — which takes place throughout the month of October — has become an exciting time of the year for open source software. Last year we were happy to report a very successful Hacktoberfest turnout where we contributed to 85 different projects and attracted 33 new contributors to our projects. This year we hope to continue that trend.
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IQT Labs LLC is a wholly owned research venture of In-Q-Tel, Inc.