Programme
Programme Live
Programme at the glance
Video Catalogue
All Sessions
Interactive Posters Sessions
Speakers
Replay Live Sessions
Channel 1
Channel 2
Partners
ISPRS
Committees
Geomixer
Commissions
Commission I
Commission II
Commission III
Commission IV
Commission V
Search
×
Search in all-demand content library:
Homepage
/
Previous page
/
JUngle-Net: using explainable machine learning to gain new insights into the appearance of wilderness in satellite imagery
Answer comment
×
Your answer must have 4 cars. minimum
An error occured
Your answer is waiting to be moderated
Your answer was successfully posted
JUngle-Net: using explainable machine learning to gain new insights into the appearance of wilderness in satellite imagery
Video
Talk details
Session : Unconventional applications for geospatial deep learning
Live
Thematic Session
JUngle-Net: using explainable machine learning to gain new insights into the appearance of wilderness in satellite imagery (649)
T
.
STOMBERG
08/07/2021 09:24 - 09:36 CEST
Related Content
Hybrid GIS-BIM approach for the Torino Digital-Twin: the imp...
Programme
Thematic Session
Assessment of car collaborative positioning with UWB and vis...
Programme
Thematic Session
Wood and generative algorithms for the comparison between mo...
Interactive Posters 5 July
Thematic Session
Programme
Deep learning for vessel detection and identification from s...
Programme
Thematic Session
#{title}
#{text}
Available room
×