Recently, there was an announcement of a stereo dataset for satellite images that also provides groundtruthed disparities. The term rockfall describes the rapid displacement of a large, usually meter-sized block of rock downslope, triggered by, for example, endogenic or exogenic events like impacts, quakes or rainfall (Hungr et al. NASA uses satellites in space to gather images like these over the whole world every day. The learning rate of the framework is as low as 0. Earth Engine includes USGS Earth Explorer. “Hopefully can serve as an early indicator for them of what will eventually come down the road in their product development.Satellite image dataset. “We want to keep pushing novel datasets and difficult challenges, because that’s what we’re hearing researchers, government, academia and companies want us to,” Lewis said. Competitors were asked to automatically identify building footprints. Over the years, SpaceNet has continually heightened the technical complexity of each challenge by increasing various elements like the geographic diversity of datasets or by asking competitors to detect new objects, like roads as opposed to buildings.įor its sixth challenge, SpaceNet created an open-source dataset that combined Capella Space airborne synthetic aperture radar imagery with Maxar WorldView 2 electro-optical imagery. Some of the people participating in SpaceNet challenges previously worked primarily with medical or automotive datasets, Lewis said. “That’s been a huge sign of success,” he added. In addition, SpaceNet challenges have attracted people who do not usually work in the space or aerospace industry. “We wanted to advance the state of the art for our industry but also to broaden exposure and get excitement from the broader technology community,” said Todd Bacastow, Maxar senior director and SpaceNet Advisory Council co-chair.īy clearing away some of the obstacles, SpaceNet has revealed “broad hunger within the space community to make these resources open to serve as a foundation for future product development,” Lewis said. When SpaceNet formed, obstacles confronting researchers who wanted to apply artificial intelligence to geospatial datasets included a lack of available data and data-licensing challenges. SpaceNet, a project conceived by Maxar and CosmiQ Works, “turned into a global effort that has a pretty substantial following in all the areas that you might expect that are focused on research and computer vision,” Lewis said. Over four years, the nonprofit has received 3,000 submissions to its data-science challenges from people in 34 countries. People in 82 countries have downloaded SpaceNet datasets. While unveiling its latest challenge, SpaceNet leaders also are taking stock of the organization’s accomplishments. SpaceNet now includes its founding members as well as Planet, the National Geospatial-Intelligence Agency, the Institute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society, Topcoder, a Wipro company, Amazon Web Services and Capella Space SpaceNet shares data through Amazon Web Services. Since SpaceNet was formed in 2016 by Maxar Technologies and In-Q-Tel’s CosmiQ Works, the nonprofit has created an online repository of free satellite imagery and labeled training data to encourage development of algorithms designed specifically for remote sensing data. “It’s a very challenging task” that has important applications for disaster response, monitoring population change and the United Nation’s Sustainable Development Goals, he added. “We’re tracking urban development explicitly at the footprint level,” Ryan Lewis, SpaceNet general manager and In-Q-Tel senior vice president, told SpaceNews. Increasingly, satellite constellations offer customers frequently updated imagery of various sites, prompting demand for machine learning and computer vision algorithms capable of highlighting changes in the geospatial datasets. In addition, if Planet wants to promote development of new methods to monitor change in its data, SpaceNet is “an amazing conduit for that,” he added.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |