GTC ON-DEMAND

 
SEARCH SESSIONS
SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

Other
Presentation
Media
Earth Observation: Land Use and Land Cover Classification Using Satellite Images
Abstract:
We address the challenge of land use and land cover classification using remote sensing satellite images. For this challenging task, we use the openly and freely accessible Sentinel-2 satellite images. Our novel dataset covers 13 different spectral bands and consists of 27,000 labeled images. We present an evaluation of this dataset using deep Convolutional Neural Networks (CNN). In addition, we compare our results to existing benchmark datasets. With the proposed new dataset, we achieved an overall accuracy of 98.57%. We demonstrate how the classification system can be used for detecting land use and land cover changes and how it can assist in improving geographical maps.
 
Topics:
Other
Type:
Talk
Event:
GTC Europe
Year:
2017
Session ID:
23480
Download:
Share: