[otb] 01/03: Add manpages for new executables.
Bas Couwenberg
sebastic at debian.org
Fri Jul 29 13:11:49 UTC 2016
This is an automated email from the git hooks/post-receive script.
sebastic pushed a commit to branch master
in repository otb.
commit 2e6553765fe689ab2db9998c4119ef4da4db3964
Author: Bas Couwenberg <sebastic at xs4all.nl>
Date: Fri Jul 29 13:45:55 2016 +0200
Add manpages for new executables.
---
debian/changelog | 1 +
debian/manpages/otbcli_SampleExtraction.1 | 26 +++++++++++
debian/manpages/otbcli_SampleSelection.1 | 32 +++++++++++++
debian/manpages/otbcli_TrainVectorClassifier.1 | 62 ++++++++++++++++++++++++++
debian/manpages/otbgui_SampleExtraction.1 | 26 +++++++++++
debian/manpages/otbgui_SampleSelection.1 | 32 +++++++++++++
debian/manpages/otbgui_TrainVectorClassifier.1 | 62 ++++++++++++++++++++++++++
debian/otb-bin-qt.manpages | 3 ++
debian/otb-bin.manpages | 3 ++
9 files changed, 247 insertions(+)
diff --git a/debian/changelog b/debian/changelog
index 37ae799..02fac6f 100644
--- a/debian/changelog
+++ b/debian/changelog
@@ -12,6 +12,7 @@ otb (5.6.0+dfsg-1) UNRELEASED; urgency=medium
* Update symbols for amd64.
* Add library package for libOTBStatistics.
* Add patch to fix spelling errors.
+ * Add manpages for new executables.
-- Bas Couwenberg <sebastic at debian.org> Thu, 28 Jul 2016 18:12:09 +0200
diff --git a/debian/manpages/otbcli_SampleExtraction.1 b/debian/manpages/otbcli_SampleExtraction.1
new file mode 100644
index 0000000..b593868
--- /dev/null
+++ b/debian/manpages/otbcli_SampleExtraction.1
@@ -0,0 +1,26 @@
+.\" DO NOT MODIFY THIS FILE! It was generated by help2man 1.46.4.
+.TH OTBCLI_BANDMATH "1" "December 2015" "otbcli_SampleExtraction 5.6.0" "User Commands"
+.SH NAME
+otbcli_SampleExtraction \- OTB SampleExtraction application
+.SH DESCRIPTION
+This is the SampleExtraction application, version 5.6.0
+Extracts samples values from an image.
+.PP
+Complete documentation: http://www.orfeo-toolbox.org/Applications/SampleExtraction.html
+.SS "Parameters:"
+.TP
+\fB\-progress\fR <boolean>
+Report progress
+.PP
+ \fB\-in\fR <string> InputImage (mandatory)
+ \fB\-vec\fR <string> Input sampling positions (mandatory)
+ \fB\-out\fR <string> Output samples (optional, off by default)
+ \fB\-outfield\fR <string> Output field names [prefix/list] (mandatory, default value is prefix)
+ \fB\-outfield.prefix.name\fR <string> Output field prefix (mandatory, default value is value_)
+ \fB\-outfield.list.names\fR <string list> Output field names (mandatory)
+ \fB\-field\fR <string> Field Name (optional, on by default, default value is class)
+ \fB\-layer\fR <int32> Layer Index (optional, on by default, default value is 0)
+ \fB\-ram\fR <int32> Available RAM (Mb) (optional, off by default, default value is 128)
+ \fB\-inxml\fR <string> Load otb application from xml file (optional, off by default)
+.SH EXAMPLES
+otbcli_SampleExtraction \-in support_image.tif \-vec sample_positions.sqlite \-outfield prefix \-outfield.prefix.name band_ \-field label \-out sample_values.sqlite
diff --git a/debian/manpages/otbcli_SampleSelection.1 b/debian/manpages/otbcli_SampleSelection.1
new file mode 100644
index 0000000..7a165f6
--- /dev/null
+++ b/debian/manpages/otbcli_SampleSelection.1
@@ -0,0 +1,32 @@
+.\" DO NOT MODIFY THIS FILE! It was generated by help2man 1.46.4.
+.TH OTBCLI_BANDMATH "1" "December 2015" "otbcli_SampleSelection 5.6.0" "User Commands"
+.SH NAME
+otbcli_SampleSelection \- OTB SampleSelection application
+.SH DESCRIPTION
+This is the SampleSelection application, version 5.6.0
+Selects samples from a training vector data set.
+.PP
+Complete documentation: http://www.orfeo\-toolbox.org/Applications/SampleSelection.html
+.SS "Parameters:"
+.TP
+\fB\-progress\fR <boolean>
+Report progress
+.PP
+ \fB\-in\fR <string> InputImage (mandatory)
+ \fB\-mask\fR <string> InputMask (optional, off by default)
+ \fB\-vec\fR <string> Input vectors (mandatory)
+ \fB\-out\fR <string> Output vectors (mandatory)
+ \fB\-instats\fR <string> Input Statistics (mandatory)
+ \fB\-outrates\fR <string> Output rates (optional, off by default)
+ \fB\-sampler\fR <string> Sampler type [periodic/random] (mandatory, default value is periodic)
+ \fB\-sampler.periodic.jitter\fR <int32> Jitter amplitude (optional, on by default, default value is 0)
+ \fB\-strategy\fR <string> Sampling strategy [byclass/constant/smallest/all] (mandatory, default value is smallest)
+ \fB\-strategy.byclass.in\fR <string> Number of samples by class (mandatory)
+ \fB\-strategy.constant.nb\fR <int32> Number of samples for all classes (mandatory)
+ \fB\-field\fR <string> Field Name (optional, on by default, default value is class)
+ \fB\-layer\fR <int32> Layer Index (optional, on by default, default value is 0)
+ \fB\-ram\fR <int32> Available RAM (Mb) (optional, off by default, default value is 128)
+ \fB\-rand\fR <int32> set user defined seed (optional, off by default)
+ \fB\-inxml\fR <string> Load otb application from xml file (optional, off by default)
+.SH EXAMPLES
+otbcli_SampleSelection \-in support_image.tif \-vec variousVectors.sqlite \-field label \-instats apTvClPolygonClassStatisticsOut.xml \-out resampledVectors.sqlite
diff --git a/debian/manpages/otbcli_TrainVectorClassifier.1 b/debian/manpages/otbcli_TrainVectorClassifier.1
new file mode 100644
index 0000000..89472f9
--- /dev/null
+++ b/debian/manpages/otbcli_TrainVectorClassifier.1
@@ -0,0 +1,62 @@
+.\" DO NOT MODIFY THIS FILE! It was generated by help2man 1.46.4.
+.TH OTBCLI_BANDMATH "1" "December 2015" "otbcli_TrainVectorClassifier 5.6.0" "User Commands"
+.SH NAME
+otbcli_TrainVectorClassifier \- OTB TrainVectorClassifier application
+.SH DESCRIPTION
+This is the TrainVectorClassifier application, version 5.6.0
+Train a classifier based on labeled geometries and a list of features to consider.
+.PP
+Complete documentation: http://www.orfeo\-toolbox.org/Applications/TrainVectorClassifier.html
+.SS "Parameters:"
+.TP
+\fB\-progress\fR <boolean>
+Report progress
+.PP
+ \fB\-io.stats\fR <string> Input XML image statistics file (optional, off by default)
+ \fB\-io.confmatout\fR <string> Output confusion matrix (optional, off by default)
+ \fB\-io.out\fR <string> Output model (mandatory)
+ \fB\-feat\fR <string list> Field names for training features. (mandatory, default value is )
+ \fB\-cfield\fR <string> Field containing the class id for supervision (mandatory, default value is class)
+ \fB\-layer\fR <int32> Layer Index (optional, on by default, default value is 0)
+ \fB\-valid.vd\fR <string> Validation Vector Data (optional, off by default)
+ \fB\-valid.layer\fR <int32> Layer Index (optional, on by default, default value is 0)
+ \fB\-classifier\fR <string> Classifier to use for the training [boost/dt/gbt/ann/bayes/rf/knn] (mandatory, default value is boost)
+ \fB\-classifier.boost.t\fR <string> Boost Type [discrete/real/logit/gentle] (mandatory, default value is real)
+ \fB\-classifier.boost.w\fR <int32> Weak count (mandatory, default value is 100)
+ \fB\-classifier.boost.r\fR <float> Weight Trim Rate (mandatory, default value is 0.95)
+ \fB\-classifier.boost.m\fR <int32> Maximum depth of the tree (mandatory, default value is 1)
+ \fB\-classifier.dt.max\fR <int32> Maximum depth of the tree (mandatory, default value is 65535)
+ \fB\-classifier.dt.min\fR <int32> Minimum number of samples in each node (mandatory, default value is 10)
+ \fB\-classifier.dt.ra\fR <float> Termination criteria for regression tree (mandatory, default value is 0.01)
+ \fB\-classifier.dt.cat\fR <int32> Cluster possible values of a categorical variable into K <= cat clusters to find a suboptimal split (mandatory, default value is 10)
+ \fB\-classifier.dt.f\fR <int32> K\fB\-fold\fR cross\fB\-validations\fR (mandatory, default value is 10)
+ \fB\-classifier.dt.r\fR <boolean> Set Use1seRule flag to false (optional, off by default)
+ \fB\-classifier.dt.t\fR <boolean> Set TruncatePrunedTree flag to false (optional, off by default)
+ \fB\-classifier.gbt.w\fR <int32> Number of boosting algorithm iterations (mandatory, default value is 200)
+ \fB\-classifier.gbt.s\fR <float> Regularization parameter (mandatory, default value is 0.01)
+ \fB\-classifier.gbt.p\fR <float> Portion of the whole training set used for each algorithm iteration (mandatory, default value is 0.8)
+ \fB\-classifier.gbt.max\fR <int32> Maximum depth of the tree (mandatory, default value is 3)
+ \fB\-classifier.ann.t\fR <string> Train Method Type [reg/back] (mandatory, default value is reg)
+ \fB\-classifier.ann.sizes\fR <string list> Number of neurons in each intermediate layer (mandatory)
+ \fB\-classifier.ann.f\fR <string> Neuron activation function type [ident/sig/gau] (mandatory, default value is sig)
+ \fB\-classifier.ann.a\fR <float> Alpha parameter of the activation function (mandatory, default value is 1)
+ \fB\-classifier.ann.b\fR <float> Beta parameter of the activation function (mandatory, default value is 1)
+ \fB\-classifier.ann.bpdw\fR <float> Strength of the weight gradient term in the BACKPROP method (mandatory, default value is 0.1)
+ \fB\-classifier.ann.bpms\fR <float> Strength of the momentum term (the difference between weights on the 2 previous iterations) (mandatory, default value is 0.1)
+ \fB\-classifier.ann.rdw\fR <float> Initial value Delta_0 of update\fB\-values\fR Delta_{ij} in RPROP method (mandatory, default value is 0.1)
+ \fB\-classifier.ann.rdwm\fR <float> Update\fB\-values\fR lower limit Delta_{min} in RPROP method (mandatory, default value is 1e\fB\-\fR07)
+ \fB\-classifier.ann.term\fR <string> Termination criteria [iter/eps/all] (mandatory, default value is all)
+ \fB\-classifier.ann.eps\fR <float> Epsilon value used in the Termination criteria (mandatory, default value is 0.01)
+ \fB\-classifier.ann.iter\fR <int32> Maximum number of iterations used in the Termination criteria (mandatory, default value is 1000)
+ \fB\-classifier.rf.max\fR <int32> Maximum depth of the tree (mandatory, default value is 5)
+ \fB\-classifier.rf.min\fR <int32> Minimum number of samples in each node (mandatory, default value is 10)
+ \fB\-classifier.rf.ra\fR <float> Termination Criteria for regression tree (mandatory, default value is 0)
+ \fB\-classifier.rf.cat\fR <int32> Cluster possible values of a categorical variable into K <= cat clusters to find a suboptimal split (mandatory, default value is 10)
+ \fB\-classifier.rf.var\fR <int32> Size of the randomly selected subset of features at each tree node (mandatory, default value is 0)
+ \fB\-classifier.rf.nbtrees\fR <int32> Maximum number of trees in the forest (mandatory, default value is 100)
+ \fB\-classifier.rf.acc\fR <float> Sufficient accuracy (OOB error) (mandatory, default value is 0.01)
+ \fB\-classifier.knn.k\fR <int32> Number of Neighbors (mandatory, default value is 32)
+ \fB\-rand\fR <int32> set user defined seed (optional, off by default)
+ \fB\-inxml\fR <string> Load otb application from xml file (optional, off by default)
+.SH EXAMPLES
+otbcli_TrainVectorClassifier \-io.vd vectorData.shp \-io.stats meanVar.xml \-io.out svmModel.svm \-feat perimeter area width \-cfield predicted
diff --git a/debian/manpages/otbgui_SampleExtraction.1 b/debian/manpages/otbgui_SampleExtraction.1
new file mode 100644
index 0000000..0a22231
--- /dev/null
+++ b/debian/manpages/otbgui_SampleExtraction.1
@@ -0,0 +1,26 @@
+.\" DO NOT MODIFY THIS FILE! It was generated by help2man 1.46.4.
+.TH OTBCLI_BANDMATH "1" "December 2015" "otbgui_SampleExtraction 5.6.0" "User Commands"
+.SH NAME
+otbgui_SampleExtraction \- OTB SampleExtraction application
+.SH DESCRIPTION
+This is the SampleExtraction application, version 5.6.0
+Extracts samples values from an image.
+.PP
+Complete documentation: http://www.orfeo-toolbox.org/Applications/SampleExtraction.html
+.SS "Parameters:"
+.TP
+\fB\-progress\fR <boolean>
+Report progress
+.PP
+ \fB\-in\fR <string> InputImage (mandatory)
+ \fB\-vec\fR <string> Input sampling positions (mandatory)
+ \fB\-out\fR <string> Output samples (optional, off by default)
+ \fB\-outfield\fR <string> Output field names [prefix/list] (mandatory, default value is prefix)
+ \fB\-outfield.prefix.name\fR <string> Output field prefix (mandatory, default value is value_)
+ \fB\-outfield.list.names\fR <string list> Output field names (mandatory)
+ \fB\-field\fR <string> Field Name (optional, on by default, default value is class)
+ \fB\-layer\fR <int32> Layer Index (optional, on by default, default value is 0)
+ \fB\-ram\fR <int32> Available RAM (Mb) (optional, off by default, default value is 128)
+ \fB\-inxml\fR <string> Load otb application from xml file (optional, off by default)
+.SH EXAMPLES
+otbgui_SampleExtraction \-in support_image.tif \-vec sample_positions.sqlite \-outfield prefix \-outfield.prefix.name band_ \-field label \-out sample_values.sqlite
diff --git a/debian/manpages/otbgui_SampleSelection.1 b/debian/manpages/otbgui_SampleSelection.1
new file mode 100644
index 0000000..9e4b322
--- /dev/null
+++ b/debian/manpages/otbgui_SampleSelection.1
@@ -0,0 +1,32 @@
+.\" DO NOT MODIFY THIS FILE! It was generated by help2man 1.46.4.
+.TH OTBCLI_BANDMATH "1" "December 2015" "otbgui_SampleSelection 5.6.0" "User Commands"
+.SH NAME
+otbgui_SampleSelection \- OTB SampleSelection application
+.SH DESCRIPTION
+This is the SampleSelection application, version 5.6.0
+Selects samples from a training vector data set.
+.PP
+Complete documentation: http://www.orfeo\-toolbox.org/Applications/SampleSelection.html
+.SS "Parameters:"
+.TP
+\fB\-progress\fR <boolean>
+Report progress
+.PP
+ \fB\-in\fR <string> InputImage (mandatory)
+ \fB\-mask\fR <string> InputMask (optional, off by default)
+ \fB\-vec\fR <string> Input vectors (mandatory)
+ \fB\-out\fR <string> Output vectors (mandatory)
+ \fB\-instats\fR <string> Input Statistics (mandatory)
+ \fB\-outrates\fR <string> Output rates (optional, off by default)
+ \fB\-sampler\fR <string> Sampler type [periodic/random] (mandatory, default value is periodic)
+ \fB\-sampler.periodic.jitter\fR <int32> Jitter amplitude (optional, on by default, default value is 0)
+ \fB\-strategy\fR <string> Sampling strategy [byclass/constant/smallest/all] (mandatory, default value is smallest)
+ \fB\-strategy.byclass.in\fR <string> Number of samples by class (mandatory)
+ \fB\-strategy.constant.nb\fR <int32> Number of samples for all classes (mandatory)
+ \fB\-field\fR <string> Field Name (optional, on by default, default value is class)
+ \fB\-layer\fR <int32> Layer Index (optional, on by default, default value is 0)
+ \fB\-ram\fR <int32> Available RAM (Mb) (optional, off by default, default value is 128)
+ \fB\-rand\fR <int32> set user defined seed (optional, off by default)
+ \fB\-inxml\fR <string> Load otb application from xml file (optional, off by default)
+.SH EXAMPLES
+otbgui_SampleSelection \-in support_image.tif \-vec variousVectors.sqlite \-field label \-instats apTvClPolygonClassStatisticsOut.xml \-out resampledVectors.sqlite
diff --git a/debian/manpages/otbgui_TrainVectorClassifier.1 b/debian/manpages/otbgui_TrainVectorClassifier.1
new file mode 100644
index 0000000..20e69ac
--- /dev/null
+++ b/debian/manpages/otbgui_TrainVectorClassifier.1
@@ -0,0 +1,62 @@
+.\" DO NOT MODIFY THIS FILE! It was generated by help2man 1.46.4.
+.TH OTBCLI_BANDMATH "1" "December 2015" "otbgui_TrainVectorClassifier 5.6.0" "User Commands"
+.SH NAME
+otbgui_TrainVectorClassifier \- OTB TrainVectorClassifier application
+.SH DESCRIPTION
+This is the TrainVectorClassifier application, version 5.6.0
+Train a classifier based on labeled geometries and a list of features to consider.
+.PP
+Complete documentation: http://www.orfeo\-toolbox.org/Applications/TrainVectorClassifier.html
+.SS "Parameters:"
+.TP
+\fB\-progress\fR <boolean>
+Report progress
+.PP
+ \fB\-io.stats\fR <string> Input XML image statistics file (optional, off by default)
+ \fB\-io.confmatout\fR <string> Output confusion matrix (optional, off by default)
+ \fB\-io.out\fR <string> Output model (mandatory)
+ \fB\-feat\fR <string list> Field names for training features. (mandatory, default value is )
+ \fB\-cfield\fR <string> Field containing the class id for supervision (mandatory, default value is class)
+ \fB\-layer\fR <int32> Layer Index (optional, on by default, default value is 0)
+ \fB\-valid.vd\fR <string> Validation Vector Data (optional, off by default)
+ \fB\-valid.layer\fR <int32> Layer Index (optional, on by default, default value is 0)
+ \fB\-classifier\fR <string> Classifier to use for the training [boost/dt/gbt/ann/bayes/rf/knn] (mandatory, default value is boost)
+ \fB\-classifier.boost.t\fR <string> Boost Type [discrete/real/logit/gentle] (mandatory, default value is real)
+ \fB\-classifier.boost.w\fR <int32> Weak count (mandatory, default value is 100)
+ \fB\-classifier.boost.r\fR <float> Weight Trim Rate (mandatory, default value is 0.95)
+ \fB\-classifier.boost.m\fR <int32> Maximum depth of the tree (mandatory, default value is 1)
+ \fB\-classifier.dt.max\fR <int32> Maximum depth of the tree (mandatory, default value is 65535)
+ \fB\-classifier.dt.min\fR <int32> Minimum number of samples in each node (mandatory, default value is 10)
+ \fB\-classifier.dt.ra\fR <float> Termination criteria for regression tree (mandatory, default value is 0.01)
+ \fB\-classifier.dt.cat\fR <int32> Cluster possible values of a categorical variable into K <= cat clusters to find a suboptimal split (mandatory, default value is 10)
+ \fB\-classifier.dt.f\fR <int32> K\fB\-fold\fR cross\fB\-validations\fR (mandatory, default value is 10)
+ \fB\-classifier.dt.r\fR <boolean> Set Use1seRule flag to false (optional, off by default)
+ \fB\-classifier.dt.t\fR <boolean> Set TruncatePrunedTree flag to false (optional, off by default)
+ \fB\-classifier.gbt.w\fR <int32> Number of boosting algorithm iterations (mandatory, default value is 200)
+ \fB\-classifier.gbt.s\fR <float> Regularization parameter (mandatory, default value is 0.01)
+ \fB\-classifier.gbt.p\fR <float> Portion of the whole training set used for each algorithm iteration (mandatory, default value is 0.8)
+ \fB\-classifier.gbt.max\fR <int32> Maximum depth of the tree (mandatory, default value is 3)
+ \fB\-classifier.ann.t\fR <string> Train Method Type [reg/back] (mandatory, default value is reg)
+ \fB\-classifier.ann.sizes\fR <string list> Number of neurons in each intermediate layer (mandatory)
+ \fB\-classifier.ann.f\fR <string> Neuron activation function type [ident/sig/gau] (mandatory, default value is sig)
+ \fB\-classifier.ann.a\fR <float> Alpha parameter of the activation function (mandatory, default value is 1)
+ \fB\-classifier.ann.b\fR <float> Beta parameter of the activation function (mandatory, default value is 1)
+ \fB\-classifier.ann.bpdw\fR <float> Strength of the weight gradient term in the BACKPROP method (mandatory, default value is 0.1)
+ \fB\-classifier.ann.bpms\fR <float> Strength of the momentum term (the difference between weights on the 2 previous iterations) (mandatory, default value is 0.1)
+ \fB\-classifier.ann.rdw\fR <float> Initial value Delta_0 of update\fB\-values\fR Delta_{ij} in RPROP method (mandatory, default value is 0.1)
+ \fB\-classifier.ann.rdwm\fR <float> Update\fB\-values\fR lower limit Delta_{min} in RPROP method (mandatory, default value is 1e\fB\-\fR07)
+ \fB\-classifier.ann.term\fR <string> Termination criteria [iter/eps/all] (mandatory, default value is all)
+ \fB\-classifier.ann.eps\fR <float> Epsilon value used in the Termination criteria (mandatory, default value is 0.01)
+ \fB\-classifier.ann.iter\fR <int32> Maximum number of iterations used in the Termination criteria (mandatory, default value is 1000)
+ \fB\-classifier.rf.max\fR <int32> Maximum depth of the tree (mandatory, default value is 5)
+ \fB\-classifier.rf.min\fR <int32> Minimum number of samples in each node (mandatory, default value is 10)
+ \fB\-classifier.rf.ra\fR <float> Termination Criteria for regression tree (mandatory, default value is 0)
+ \fB\-classifier.rf.cat\fR <int32> Cluster possible values of a categorical variable into K <= cat clusters to find a suboptimal split (mandatory, default value is 10)
+ \fB\-classifier.rf.var\fR <int32> Size of the randomly selected subset of features at each tree node (mandatory, default value is 0)
+ \fB\-classifier.rf.nbtrees\fR <int32> Maximum number of trees in the forest (mandatory, default value is 100)
+ \fB\-classifier.rf.acc\fR <float> Sufficient accuracy (OOB error) (mandatory, default value is 0.01)
+ \fB\-classifier.knn.k\fR <int32> Number of Neighbors (mandatory, default value is 32)
+ \fB\-rand\fR <int32> set user defined seed (optional, off by default)
+ \fB\-inxml\fR <string> Load otb application from xml file (optional, off by default)
+.SH EXAMPLES
+otbgui_TrainVectorClassifier \-io.vd vectorData.shp \-io.stats meanVar.xml \-io.out svmModel.svm \-feat perimeter area width \-cfield predicted
diff --git a/debian/otb-bin-qt.manpages b/debian/otb-bin-qt.manpages
index a9c2088..e446ef9 100644
--- a/debian/otb-bin-qt.manpages
+++ b/debian/otb-bin-qt.manpages
@@ -60,6 +60,8 @@ debian/manpages/otbgui_ReadImageInfo.1
debian/manpages/otbgui_RefineSensorModel.1
debian/manpages/otbgui_Rescale.1
debian/manpages/otbgui_RigidTransformResample.1
+debian/manpages/otbgui_SampleExtraction.1
+debian/manpages/otbgui_SampleSelection.1
debian/manpages/otbgui_SARCalibration.1
debian/manpages/otbgui_SarRadiometricCalibration.1
debian/manpages/otbgui_Segmentation.1
@@ -86,4 +88,5 @@ debian/manpages/otbgui_SARDecompositions.1
debian/manpages/otbgui_SARPolarMatrixConvert.1
debian/manpages/otbgui_SARPolarSynth.1
debian/manpages/otbgui_TrainRegression.1
+debian/manpages/otbgui_TrainVectorClassifier.1
debian/manpages/otbApplicationLauncherQt.1
diff --git a/debian/otb-bin.manpages b/debian/otb-bin.manpages
index 9bafe78..62e1df2 100644
--- a/debian/otb-bin.manpages
+++ b/debian/otb-bin.manpages
@@ -60,6 +60,8 @@ debian/manpages/otbcli_ReadImageInfo.1
debian/manpages/otbcli_RefineSensorModel.1
debian/manpages/otbcli_Rescale.1
debian/manpages/otbcli_RigidTransformResample.1
+debian/manpages/otbcli_SampleExtraction.1
+debian/manpages/otbcli_SampleSelection.1
debian/manpages/otbcli_SARCalibration.1
debian/manpages/otbcli_SarRadiometricCalibration.1
debian/manpages/otbcli_Segmentation.1
@@ -86,4 +88,5 @@ debian/manpages/otbcli_SARDecompositions.1
debian/manpages/otbcli_SARPolarMatrixConvert.1
debian/manpages/otbcli_SARPolarSynth.1
debian/manpages/otbcli_TrainRegression.1
+debian/manpages/otbcli_TrainVectorClassifier.1
debian/manpages/otbApplicationLauncherCommandLine.1
--
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