Efi
2018-09-20 08:56:03 UTC
Dear All,
I have a question about implementing obect-based classification of oil
spills in SAR images. After segmentation, I have run TrainVectorClassifier
on one image. Problem is that oil spills can vary in size and shape (rather
curved, elongated, etc) and I would like to improve the training step by
adding more varied training data, that is from more than one images (we
would like to perform the classification using OTB). Is there a tool or
method in OTB that allows for the creation of a 'database' of vector
training data? Closest to this that I have found so far is the
TrainImageClassifier but it applies to raster data.
All ideas are welcome!
Liten
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I have a question about implementing obect-based classification of oil
spills in SAR images. After segmentation, I have run TrainVectorClassifier
on one image. Problem is that oil spills can vary in size and shape (rather
curved, elongated, etc) and I would like to improve the training step by
adding more varied training data, that is from more than one images (we
would like to perform the classification using OTB). Is there a tool or
method in OTB that allows for the creation of a 'database' of vector
training data? Closest to this that I have found so far is the
TrainImageClassifier but it applies to raster data.
All ideas are welcome!
Liten
--
--
Check the OTB FAQ at
http://www.orfeo-toolbox.org/FAQ.html
You received this message because you are subscribed to the Google
Groups "otb-users" group.
To post to this group, send email to otb-***@googlegroups.com
To unsubscribe from this group, send email to
otb-users+***@googlegroups.com
For more options, visit this group at
http://groups.google.com/group/otb-users?hl=en
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