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Machine Learning: Automate Remote Sensing Analytics to Gain a Competitive Advantage

Author: Mark Alonzo / Wednesday, January 04, 2017

Wondering how you can use machine learning, and more specifically deep learning technologies, to get a jump on the competition? This webinar will provide a brief, high-level overview of machine learning and its applications before delving into Harris’ five year head start developing deep learning technologies that are being deployed today. Harris has applied deep learning algorithms to solve remote sensing problems like target detection, feature extraction, and classification challenges. This technology can be deployed in a desktop or enterprise-level environment, and can be put to work today to help solve your most complex problems. 


  • The importance of deep learning in managing large volumes of sensor data 

  • Successful pilot programs for: 
- Automatic Target Detection 

- Object Detection on 3D data (LiDAR point clouds) 

- Using synthetic data to train artificial neural networks 

  •  A real-world implementation where deep learning was used to automatically gain activity-based intelligence from satellite imagery of an airport.

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Number of views (6617)/Comments (2)

2 comments on article "Machine Learning: Automate Remote Sensing Analytics to Gain a Competitive Advantage"


Paul Mallas

2/20/2017 1:34 PM

Webinar does not work


mohamed Saleh

2/25/2017 2:22 PM

Very informative, wished some more technical details such as published papers regrading the mentioned projects so we can learn from it. The voice quality was very poor, I had to repeat each part several times.

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