Lunch & Learn: SpaceNet Challenge - Machine Learning for Automated Mapping Using Satellite Imagery with $50,000 in Prizes, 12-1 PM, October 25

WHAT:  Join us in person (pizza served) or join us online to learn about the SpaceNet Challenge. SpaceNet is an open satellite imagery datasets released by CosmiQ Works, DigitalGlobe, and Radiant Solutions hosted on AWS to develop automated methods for extracting map-ready features from high-resolution satellite imagery.

WHO:  Students, Staff, Faculty, and Alumni are encouraged to participate in the SpaceNet Challenge hosted on the Topcoder platform. Special cash prizes will be awarded to the top undergraduate and graduate student participants. Please see the attached flier for more details.

WHEN: 12-1PM, October 25, 2018

WHERE: 413 EES Building, http://www.eesi.psu.edu/about-eesi/images-about-eesi/eesi-map.jpg.
The presentation will also be shared via Zoom at https://psu.zoom.us/j/7281295632.

Please RSVP to tsb4@psu.edu.


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Todd S. Bacastow, Ph.D.
Teaching Professor
Department of Geography
2217 Earth & Engr Sci Bldg (mailing address)
425 Earth & Engr Sci Bldg (office address)
University Park, PA 16802-6813
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PDF icon SpaceNet Half Pager_Oct 2018.pdf1.52 MB