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#28 Introducing the SpaceNet 7 Challenge: Multi-Temporal Urban Development

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Manage episode 272780294 series 2492216
Content provided by CosmiQ Works. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CosmiQ Works or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Satellite imagery analytics have numerous human development and disaster response applications, particularly when time series methods are involved. The Multi-Temporal Urban Development SpaceNet 7 Challenge focuses on developing novel computer vision methods for non-video time series data, asking participants to identify and track buildings in satellite imagery time series collected over rapidly urbanizing areas. In this episode, CosmiQ’s Ryan Lewis, Adam Van Etten, and Daniel Hogan are joined by Planet’s Jesus Martinez Manzo and AWS Disaster Response’s Grace Kitzmiller to explore this new challenge.

Learn more at www.spacenet.ai, and at the DownLinQ (https://medium.com/the-downlinq)

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30 episodes

Artwork
iconShare
 
Manage episode 272780294 series 2492216
Content provided by CosmiQ Works. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CosmiQ Works or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Satellite imagery analytics have numerous human development and disaster response applications, particularly when time series methods are involved. The Multi-Temporal Urban Development SpaceNet 7 Challenge focuses on developing novel computer vision methods for non-video time series data, asking participants to identify and track buildings in satellite imagery time series collected over rapidly urbanizing areas. In this episode, CosmiQ’s Ryan Lewis, Adam Van Etten, and Daniel Hogan are joined by Planet’s Jesus Martinez Manzo and AWS Disaster Response’s Grace Kitzmiller to explore this new challenge.

Learn more at www.spacenet.ai, and at the DownLinQ (https://medium.com/the-downlinq)

  continue reading

30 episodes

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