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02. TH.2 - Unconventional applications for geospatial deep learning - Thematic Session
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02. TH.2 - Unconventional applications for geospatial deep learning - Thematic Session
ISPRS_TH2_Unconventional application
Session detail
Moderator -
D
.
TUIA
Moderator -
M
.
MOLINIER
Moderator -
D
.
TUIA
Moderator -
M
.
MOLINIER
Session : Unconventional applications for geospatial deep learning
Live
Thematic Session
Deep learning for vessel detection and identification from spaceborne optical imagery (
G
.
MATASCI
)
Deep no learning approach for unsupervised change detection in hyperspectral images (
S
.
SAHA
)
JUngle-Net: using explainable machine learning to gain new insights into the appearance of wilderness in satellite imagery (
T
.
STOMBERG
)
End-to-end physics-informed representation learning from and for satellite ocean remote sensing data (
R
.
FABLET
)
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