DigitalGlobe Announces SpaceNet Challenge Round 2 Results and Future Challenges
2017年8月14日 - 9:00PM
ビジネスワイヤ(英語)
DigitalGlobe, Inc. (NYSE: DGI), the global leader in Earth
imagery and information about our changing planet, today announced
the SpaceNet Challenge Round 2 results and plans for the next two
SpaceNet Challenges. A collaboration between DigitalGlobe, CosmiQ
Works, and NVIDIA, SpaceNet leverages an online repository of
publicly accessible satellite imagery, co-registered data layers
for training algorithms, and prize challenges to accelerate
innovation in machine learning.
The SpaceNet Challenge Round 2, hosted on TopCoder, was a
continuation of the first competition and invited participants to
improve automated mapping algorithms for building footprint feature
extraction from overhead imagery. Building on the success of the
first competition, SpaceNet Round 2 incorporated several
enhancements, including the release of higher resolution imagery
from WorldView-3 (30 cm resolution), improved building footprint
training data from four new geographically diverse areas and an
extended competition length to provide more time for algorithm
development.
The winning algorithms achieved performance with potential for
automated mapping tasks. Such algorithms can help keep maps
up-to-date at scale and serve end-users when current information is
needed to direct resources, such as first responders during natural
disasters. CosmiQ Works’ blog post provides further technical
detail on the top three winning solutions. As in the first
challenge, the winning algorithms are available to the open source
community through the SpaceNet GitHub repository and users of
DigitalGlobe’s Geospatial Big Data platform, GBDX.
“SpaceNet’s innovation is having a meaningful impact within the
first year, thanks to the collaboration between developers and data
scientists to apply open data and machine learning in the
geospatial field,” said Tony Frazier, Senior Vice President and
General Manager of DigitalGlobe | Radiant. “The results from Round
2 show developers are harnessing machine learning and
high-resolution training data to achieve outcomes that indicate
automation could be used in the near future to support broader
geospatial analytics. We are excited to grow the SpaceNet training
datasets library for an even broader range of applications and
hosting additional public competitions to further machine learning
capabilities in the future.”
The third SpaceNet Challenge will shift focus from automated
building footprint extraction to road network extraction and
optimized vehicle routing. This challenge will utilize machine
learning to gain insights into transportation networks and
navigation. The fourth competition will focus on processing
off-nadir imagery produced by high-revisit constellations, like
DigitalGlobe’s next-generation WorldView Legion constellation, in
unprecedented rapid timelines and at global scale. The goal of this
challenge will be to create algorithms that automatically detect
objects from more diverse angles than current nadir imagery. More
information on these upcoming challenges will be available as they
approach starting in fall 2017.
About DigitalGlobe
DigitalGlobe is a leading provider of commercial high-resolution
Earth observation and advanced geospatial solutions that help
decision makers better understand our changing planet in order to
save lives, resources and time. Sourced from the world's leading
constellation, our imagery solutions deliver unmatched coverage and
capacity to meet our customers' most demanding mission
requirements. Each day customers in defense and intelligence,
public safety, civil agencies, map making and analysis,
environmental monitoring, oil and gas exploration, infrastructure
management, navigation technology, and providers of location-based
services depend on DigitalGlobe data, information, technology and
expertise to gain actionable insight.
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Commission, including Item 1A of our Annual Report on Form 10-K for
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Media ContactEdelman for DigitalGlobeMatt Flannery,
212-729-2153DigitalGlobe@edelman.comorInvestor Relations
ContactFred Graffam, 303-684-1692Senior Vice President,
Investor Relations and Corporate Developmentir@digitalglobe.com
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