Histogram Matching

Author: O.Conrad (c) 2019
Menu: Grid | Calculus | Transformations

Description

This tool alters the values of a grid so that its value distribution (its histogram), matches that of a reference grid. The first method simply uses arithmetic mean and standard deviation for adjustment, which usually is sufficient for normal distributed values. The second method performs a more precise adjustment based on the grids' histograms.

Parameters

	Name	Type	Identifier	Description	Constraints
Input	Grid	grid, input	`GRID`	-	-
Input	Reference Grid	grid, input	`REFERENCE`	-	-
Output	Adjusted Grid	grid, output, optional	`MATCHED`	-	-
Options	Grid System	grid system	`PARAMETERS_GRID_SYSTEM`	-	-
	Grid system	grid system	`REFERENCE_GRIDSYSTEM`	-	-
	Method	choice	`METHOD`	-	Available Choices: [0] standard deviation [1] histogram Default: 1
	Histogramm Classes	integer number	`NCLASSES`	Number of histogram classes for internal use.	Minimum: 100 Default: 10
	Maximum Sample Size	integer number	`MAXSAMPLES`	If set to zero all data will be used to build the histograms.	Minimum: 0 Default: 1000000

Command Line


Usage: saga_cmd grid_calculus 21 [-GRID ] [-MATCHED ] [-REFERENCE ] [-METHOD ] [-NCLASSES ] [-MAXSAMPLES ]
  -GRID:         Grid
	grid, input
  -MATCHED:      Adjusted Grid
	grid, output, optional
  -REFERENCE:    Reference Grid
	grid, input
  -METHOD:       Method
	choice
	Available Choices:
	[0] standard deviation
	[1] histogram
	Default: 1
  -NCLASSES:     Histogramm Classes
	integer number
	Minimum: 100
	Default: 10
  -MAXSAMPLES:   Maximum Sample Size
	integer number
	Minimum: 0
	Default: 1000000