4 ***************************************************************************
8 Copyright : (C) 2015 by Pieter Kempeneers
9 Email : kempenep at gmail dot com
10 ***************************************************************************
12 * This program is free software; you can redistribute it and/or modify *
13 * it under the terms of the GNU General Public License as published by *
14 * the Free Software Foundation; either version 2 of the License, or *
15 * (at your option) any later version. *
17 ***************************************************************************
20 __author__ =
'Pieter Kempeneers'
21 __date__ =
'April 2015'
22 __copyright__ =
'(C) 2015, Pieter Kempeneers'
24 __revision__ =
'$Format:%H$'
27 from pktoolsUtils
import pktoolsUtils
28 from pktoolsAlgorithm
import pktoolsAlgorithm
29 from processing.core.parameters
import ParameterMultipleInput
30 from processing.core.parameters
import ParameterVector
31 from processing.core.parameters
import ParameterRaster
32 from processing.core.outputs
import OutputRaster
33 from processing.core.parameters
import ParameterSelection
34 from processing.core.parameters
import ParameterNumber
35 from processing.core.parameters
import ParameterString
36 from processing.core.parameters
import ParameterBoolean
37 from processing.core.parameters
import ParameterExtent
50 MSKNODATA =
"MSKNODATA"
60 def defineCharacteristics(self):
61 self.
name =
"Support vector machine"
62 self.
group =
"[pktools] supervised classification"
63 self.addParameter(ParameterRaster(self.
INPUT,
'Input layer raster data set',ParameterRaster))
64 self.addParameter(ParameterVector(self.
TRAINING,
'Training vector file.'))
65 self.addParameter(ParameterBoolean(self.
ITERATE,
"Iterate over all layers",
True))
66 self.addParameter(ParameterString(self.
LABEL,
"Attribute name for class label in training vector file",
"label"))
67 self.addParameter(ParameterNumber(self.
GAMMA,
"Gamma in kernel function",0,100,1.0))
68 self.addParameter(ParameterNumber(self.
COST,
"The parameter C of C_SVC",0,100000,1000.0))
69 self.addParameter(ParameterRaster(self.
MASK,
"Mask raster dataset",optional=
True))
70 self.addParameter(ParameterString(self.
MSKNODATA,
"Mask value(s) not to consider for classification (e.g., 0;255)",
"0"))
71 self.addOutput(OutputRaster(self.
OUTPUT,
"Output raster data set"))
72 self.addParameter(ParameterString(self.
EXTRA,
73 'Additional parameters',
'-of GTiff', optional=
True))
78 def processAlgorithm(self, progress):
79 commands = [os.path.join(pktoolsUtils.pktoolsPath(), self.
cliName())]
81 input=self.getParameterValue(self.
INPUT)
84 commands.append(input)
87 training=self.getParameterValue(self.
TRAINING)
89 if(str(training).find(
'|')>0):
90 if self.getParameterValue(self.
ITERATE):
91 trainingname=str(training)
92 commands.append(trainingname[:trainingname.find(
'|')])
94 trainingname=str(training).replace(
"|layername",
" -ln")
95 commands.append(trainingname)
97 commands.append(training)
99 commands.append(
'-label')
100 commands.append(str(self.getParameterValue(self.
LABEL)))
103 commands.append(
'-g')
104 commands.append(str(self.getParameterValue(self.
GAMMA)))
105 commands.append(
'-cc')
106 commands.append(str(self.getParameterValue(self.
COST)))
108 mask = str(self.getParameterValue(self.
MASK))
110 commands.append(
'-m')
111 commands.append(mask)
112 msknodata=str(self.getParameterValue(self.
MSKNODATA))
113 msknodataValues = msknodata.split(
';')
114 for msknodataValue
in msknodataValues:
115 commands.append(
'-msknodata')
116 commands.append(msknodataValue)
118 extra = str(self.getParameterValue(self.
EXTRA))
120 commands.append(extra)
122 output=str(self.getParameterValue(self.
OUTPUT))
124 commands.append(
'-o')
125 commands.append(self.getOutputValue(self.
OUTPUT))
128 for item
in commands:
131 pktoolsUtils.runpktools(commands, progress)