Hi all,
I'm try Generate a RPC sensor model from a list of Ground Control Points.
But it requires input file containing tie points.
You can guide me to create points file.
Please give me some suggestions and examples.
Best regards,
PhuongHX
--
--
Check the OTB FAQ at
Hi,
I saw list feature ORFEO Toolbox of Hyperspectral processing included:
- Dimensionality reduction with PCA, NAPCA, ICA, MAF
- Dimensionality estimation with Virtual Dimensionality and ELM
- VCA endmembers extraction
- Unmixing with ISRAU, MDMD-NMF, NCLSU, sparsity based
Hi,
I think you can use the BlockMatching app [1] and connect its output to
GridBasedImageResampling app [2].
Regards,
Julien
[1] https://www.orfeo-toolbox.org/CookBook/Applications/app_BlockMatching.html
[2]
Julien is right,
MeanShift segmentation cannot be streamed, and it will be time consuming. You
can use the LSMS workflow to get large images processed. There is a recipe in
CookBook for that :
https://www.orfeo-toolbox.org/CookBook/recipes/improc.html#large-scale-mean-shift-lsms-segmentation
I think that currently the best option is to segment images with Large Scale
MeanShift (see cookbook LSMS recipe) and then do some gis reasoning. You can
have a look at this part of OTB courses, which does something similar :
Sorry I missed your messages, I could have told you that. Where is the part of
the doc that says that geoid is not mandatory when using DEM ? I will try to
fix it. Note that this all depend on what your DEM height convention is.
Regards,
Julien
De : otb-users@googlegroups.com
Hi,
It is rather difficult to answer this question, it depends on the landscape,
acquisition date, angles … If the two images are acquired on the same date,
there should be more point … Did you try to play with parameters a bit ?
Also I see that you are using pansharpened (PMS) data, they are
