Hello,
i have installed the OTB 5.10.1 version too and i when i want to use train 
images classifier for the random forest it doesn't create any output model 
file. and the library give me this error message:
ERROR: Waiting for at least one parameter...
This is the TrainImagesClassifier application, version 5.10.1
Train a classifier from multiple pairs of images and training vector data.

Complete documentation: 
http://www.orfeo-toolbox.org/Applications/TrainImagesClassifier.html

Parameters: 
        -progress               <boolean>        Report progress 
MISSING -io.il                  <string list>    Input Image List  
(mandatory)
MISSING -io.vd                  <string list>    Input Vector Data List  
(mandatory)
        -io.valid               <string list>    Validation Vector Data 
List  (optional, off by default)
        -io.imstat              <string>         Input XML image statistics 
file  (optional, off by default)
        -io.confmatout          <string>         Output confusion matrix  
(optional, off by default)
MISSING -io.out                 <string>         Output model  (mandatory)
        -elev.dem               <string>         DEM directory  (optional, 
off by default)
        -elev.geoid             <string>         Geoid File  (optional, off 
by default)
        -elev.default           <float>          Default elevation  
(mandatory, default value is 0)
        -sample.mt              <int32>          Maximum training sample 
size per class  (mandatory, default value is 1000)
        -sample.mv              <int32>          Maximum validation sample 
size per class  (mandatory, default value is 1000)
        -sample.bm              <int32>          Bound sample number by 
minimum  (mandatory, default value is 1)
        -sample.vtr             <float>          Training and validation 
sample ratio  (mandatory, default value is 0.5)
        -sample.vfn             <string>         Field Name  (mandatory, 
default value is )
        -classifier             <string>         Classifier to use for the 
training [libsvm] (mandatory, default value is libsvm)
        -classifier.libsvm.k    <string>         SVM Kernel Type 
[linear/rbf/poly/sigmoid] (mandatory, default value is linear)
        -classifier.libsvm.m    <string>         SVM Model Type 
[csvc/nusvc/oneclass] (mandatory, default value is csvc)
        -classifier.libsvm.c    <float>          Cost parameter C  
(mandatory, default value is 1)
        -classifier.libsvm.opt  <boolean>        Parameters optimization  
(optional, off by default)
        -classifier.libsvm.prob <boolean>        Probability estimation  
(optional, off by default)
        -rand                   <int32>          set user defined seed  
(optional, off by default)
        -ram                    <int32>          Available RAM (Mb)  
(optional, off by default, default value is 128)
        -cleanup                <boolean>        Temporary files cleaning  
(optional, on by default)
        -inxml                  <string>         Load otb application from 
xml file  (optional, off by default)

it give me only the libsvm classification.
i woud be grateful if you help me.
thank's

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