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tille pushed a commit to branch master
in repository gis.

commit 31d1992850562ce5fcf91a93ea458df1e826408d
Author: Andreas Tille <>
Date:   Thu Jul 10 16:14:17 2014 +0200

    Just noticed that otb was included under the name orfeo ... put everything 
 tasks/remotesensing | 39 +++++----------------------------------
 1 file changed, 5 insertions(+), 34 deletions(-)

diff --git a/tasks/remotesensing b/tasks/remotesensing
index 12181de..b302460 100644
--- a/tasks/remotesensing
+++ b/tasks/remotesensing
@@ -17,7 +17,11 @@ Depends: dans-gdal-scripts
 X-Mark: Packages in Vcs - Information about these is queried from UDD
-Depends: otb-bin, otb-bin-qt
+Depends: otb-bin
+Depends: otb-bin-qt
 Depends: polsarpro
 Language: C, Tcl/Tk
@@ -126,39 +130,6 @@ Pkg-Description: Repeat Orbit Interferometry PACkage
  interferograms, phase images measured as principal value and
  continuously "unwrapped," DEMs, and error estimates.
-Depends: orfeo
-License: CeCILL (similar to GPL)
-Language: C++
-Pkg-Description: Orfeo Tool Box
- In the frame of the Methodological Part of the ORFEO Accompaniment
- Program to prepare, accompany and promote the use and the exploitation
- of the images derived from Pleiades (PHR) and Cosmo-Skymed (CSK)
- systems, the French Space Agency (CNES) decided to develop the Orfeo
- Toolbox (OTB): a set of algorithmic components which allow to
- capitalize the methodological know how, and therefore use an
- incremental approach to take profit of the results of the
- methodological research.
- .
- ORFEO Toolbox (OTB) is distributed as an open source library of image
- processing algorithms. OTB is based on the medical image processing
- library ITK and offers particular functionalities for remote sensing
- image processing in general and for high spatial resolution images in
- particular. The library is intensively tested on several platforms as
- Linux, Unix and Windows. Most functionalities are also adapted to
- process huge images using streaming and multi-threading as often as
- possible.
- .
- Among other, OTB provides a number of heavily documented
- functionalities as:
-   * image access: optimized read/write access for most of remote
-     sensing image formats, meta-data access, visualization;
-   * filtering: blurring, de-noising, enhancement;
-   * feature extraction: interest points, alignments, lines;
-   * image segmentation: region growing, watershed, level sets;
-   * classification: K-means, SVM, Markov random fields;
-   * change detection.
 Depends: eolisa

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