Pktools - Open Source Geospatial Tools: Applications in Earth Observation - page 183

-t|--training
Training vector file. A single vector file contains all training features (must be set
as: b0, b1, b2,...) for all classes (class numbers identified by label option). Use
multiple training files for bootstrap aggregation (alternative to the bag and bsize
options, where a random subset is taken from a single training file).
-tln|--tln
Training layer name(s).
-i|--input
Input image.
-o|--output
Output classification image.
-cv|--cv
N-fold cross validation mode (default: 0).
-c|--class
List of class names.
-r|--reclass
List of class values (use same order as in class opt).
-of|--oformat
Output image format (see also gdal_translate). Empty string: inherit from input
image.
-f|--f
Output ogr format for active training sample (default: SQLite).
-co|--co
Creation option for output file. Multiple options can be specified.
-ct|--ct
Colour table in ASCII format having 5 columns: id R G B ALFA (0: transparent,
255: solid).
-label|--label
Attribute name for class label in training vector file (default: label).
-p|--prior
Prior probabilities for each class (e.g. -p 0.3 -p 0.3 -p 0.2 ). Used for input only
(ignored for cross validation) (default: 0).
-g|--gamma
Gamma in kernel function (default: 1).
-cc|--ccost
The parameter C of C_SVC, epsilon_SVR, and nu_SVR (default: 1000).
-m|--mask
Use the first band of the specified file as a validity mask. Nodata values can be
set with the option msknodata.
-msknodata|--msknodata
Mask value(s) not to consider for classification (use negative values if only these
values should be taken into account). Values will be taken over in classification
image. (default: 0).