POF-ML
cvf - Coefficient of Variation (Float)
The cvf PU computes the coefficient of variation pixel per pixel of all the specified children PUs.
Syntax
cvf(child1,child2[,...])Input
This PU takes in input at least two (2) PUs with one sample per pixel.
Parameters
- childN - is the Nth child PU.
Output
The output is a PU with one float sample per pixel (NaN for background).
lc - Linear Combination
The lc PU computes a linear combination between several children PUs. The formula applied is the following: x1*child1 + x2*child2 + ... + xN*childN
Syntax
lc(x1,child1[,x2,child2[,...[x10,child10]]])Input
This PU takes in input a list of tuple coefficient/PU (at least one tuple).
Parameters
- xN - is the coefficient of the Nth tuple.
- childN - is the child PU of the Nth tuple.
Output
The output is a PU with one 8-bits unsigned integer sample per pixel (0 for background).
max - Maximum
The max PU retrieves the maximum value among all the specified children PUs.
Syntax
max(child1,child2[,...])Input
This PU takes in input at least two (2) PUs with one sample per pixel. All the PUs should have the same data type.
Parameters
- childN - is the Nth child PU.
Output
The output is a PU with one sample per pixel. The output data type is the same as in input.
mean - Mean
The mean PU computes the mean value of all the specified children PUs.
Deprecated: prefer the "meanf" PU.
Syntax
mean(child1,child2[,...[,child10]])Input
This PU takes in input at least two (2) PUs with one sample per pixel. All the PUs should have the same data type.
Parameters
- childN - is the Nth child PU.
Output
The output is a PU with one sample per pixel. The output data type is the same as in input.
meanf - Mean (Float)
The meanf PU computes the mean value of all the specified children PUs and return it as a float value.
Syntax
meanf(child1,child2[,...])Input
This PU takes in input at least two (2) PUs with one sample per pixel.
Parameters
- childN - is the Nth child PU.
Output
The output is a PU with one float sample per pixel.
min - Minimum
The min PU retrieves the minimum value among all the specified children PUs.
Syntax
min(child1,child2[,...])Input
This PU takes in input at least two (2) PUs with one sample per pixel. All the PUs should have the same data type.
Parameters
- childN - is the Nth child PU.
Output
The output is a PU with one sample per pixel. The output data type is the same as in input.
over - Overlay
The over PU performs an overlay of all the children PUs. The first parameter will be drawn at the top and the last at the bottom.
Syntax
over(child1,child2[,...[,child10]])Input
This PU takes in input at least two (2) PUs with one sample per pixel. All the PUs should have the same data type.
Parameters
- childN - is the Nth child PU.
Output
The output is a PU with one sample per pixel. The output data type is the same as in input.
stdev - Standard Deviation
The mean PU computes the standard deviation value of all the specified children PUs.
Deprecated: prefer the "stdevf" PU.
Syntax
stdev(child1,child2[,...[,child10]])Input
This PU takes in input at least two (2) PUs with one sample per pixel. All the PUs should have the same data type.
Parameters
- childN - is the Nth child PU.
Output
The output is a PU with one sample per pixel. The output data type is the same as in input.
stdevf - Standard Deviation (Float)
The stdevf PU computes the standard deviation value of all the specified children PUs and return it as a float value.
Syntax
stdevf(child1,child2[,...])Input
This PU takes in input at least two (2) PUs with one sample per pixel.
Parameters
- childN - is the Nth child PU.
Output
The output is a PU with one float sample per pixel.
sum - Sum
The sum PU computes the sum value of all the specified children PUs.
Syntax
sum(child1,child2[,...[,child10]])Input
This PU takes in input at least two (2) PUs with one sample per pixel. All the PUs should have the same data type.
Parameters
- childN - is the Nth child PU.
Output
The output is a PU with one sample per pixel. The output data type is the same as in input.