Application of Deep Learning to analyse satellite imagery with improved accuracy . . . . .
Information from space is becoming much more accessible with the exponential growth in number of satellites being launched together with advancements in Big Data and Cloud Computing.
This allows for enormous quantities of data to be stored and analysed at a much faster pace and can lead to solving new challenges and optimise traditional ways of monitoring and mapping.
Significant improvements in classification accuracy using the latest Deep Learning algorithms for image segmentation
Successful object detection and recognition in satellite and aerial images even with limited training data available
Significant improvements in mapping features in open landscapes using Deep Neural Networks
Maritime industry for detection of reefs, hazardous objects, ships and illegal vessels
Construction industry for detection of roads, built-up areas and general activity in construction zones
Municipalities for detection of traffic patterns, car parks and illegal constructions
We develop tailored solutions based on your specific needs.
Contact us for a quote.
EOatDHI part of the DHI GROUP
gras@dhigroup.com
+45 4516 9100
Agern Alle 5,
2970 Hørsholm,
Denmark
CVR: 36466871