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Hi,
In OTB, almost every image is opened using GDAL. If you manage to
have GDAL reading from a PostGIS database, it should be
transparent on OTB side.
More information here: https://trac.osgeo.org/gdal/wiki/frmts_wtkraster.html
The same goes for the shape->PostGIS, if you can directly output
the vector segmentation in a PostGIS table, it should be faster. (http://www.gdal.org/drv_pg.html)
About the LSMS Smoothing performance, there may be a way to improve
the situation with the parameters exposed in the application.
Regards,
Guillaume
On 07/28/2016 09:11 AM, Jiří Fejfar
wrote:
Hi all,
I am performing segmentation on many Landsat8 scenes stored in
PostgreSQL / PostGIS. I have a very sub-optimal work-flow (all
is done in Python script on server side):
- export tiled raster from PostGIS to .tiff image
- perform 4 steps of LSMS
segmentation using python API resulting in .shp with
segments
- import this with shp2pgsql back to table in PostGIS.
Although this is working it has several drawbacks
- I have found that first
step of LSMS is not linear regarding elapsed time and
amount of data (see attached image) ... I have found not
possible to process with this step whole Landsat8 scene, so
I am doing whole before-mentioned pipeline in cycle
processing 5 rows (1 consists from tiles of the size 128 x
128 px) loosing advantage of artifacts free result.
![]()
- I believe it can be much faster.
Because of that I am trying to find the way, how to pass
tiled image from PostgreSQL directly to OTB... I have found
http://wiki.orfeo-toolbox.org/index.php/OTB-PostGIS_Interface
but it seems to be focused opposite way: expose PostGIS
functionality to OTB. I would like to expose OTB functionality
(actually only LSMS 4 steps) directly to PostGIS.
Do you know such existing API?
If there is no such API, I would like to contribute to that.
I have experience creating API exposing C++ classes /
functions to PostgreSQL like described in 35.9.13.
Using C++ for Extensibility.
Best regards, Jiří.
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Guillaume PASERO
Responsable technique
Business Unit E-SPACE & Geo Information -
Département Image & Applications
CS Systèmes d'Information
Parc de la Grande Plaine - 5, Rue Brindejonc des
Moulinais - BP 15872
31506 Toulouse Cedex 05 - FRANCE
+33 561 17 64 21 - [email protected]
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