Tool Seed Generation

The tool allows one to create seed points from a stack of input features. Such seed points can be used, for example, as input in the 'Seeded Region Growing' tool.

Author: O.Conrad (c) 2010
Menu: Imagery|Segmentation

Parameters

	Name	Type	Identifier	Description	Constraints
Input	Features	Grid list (input)	`FEATURES`	-	-
Output	Variance	Grid (output)	`VARIANCE`	-	-
	Seeds Grid (*)	Grid (optional output)	`SEED_GRID`	-	-
	Seed Points (*)	Shapes (optional output)	`SEED_POINTS`	-	-
Options	Grid system	Grid system	`PARAMETERS_GRID_SYSTEM`	-	-
	Seed Type	Choice	`SEED_TYPE`	-	Available Choices: [0] minima of variance [1] maxima of variance Default: 0
	Method	Choice	`METHOD`	-	Available Choices: [0] band width smoothing [1] band width search Default: 0
	Bandwidth (Cells)	Floating point	`BAND_WIDTH`	-	Minimum: 1.000000 Default: 10.000000
	Normalize Features	Boolean	`NORMALIZE`	Standardize the input features, i.e. rescale the input data (features) such that the mean equals 0 and the standard deviation equals 1. This is helpful when the input features have different scales, units or outliers.	Default: 0
	Weighting Function	Choice	`DW_WEIGHTING`	-	Available Choices: [0] no distance weighting [1] inverse distance to a power [2] exponential [3] gaussian weighting Default: 3
	Inverse Distance Weighting Power	Floating point	`DW_IDW_POWER`	-	Minimum: 0.000000 Default: 1.000000
	Inverse Distance Offset	Boolean	`DW_IDW_OFFSET`	Calculates weights for distance plus one, avoiding division by zero for zero distances	Default: 1
	Gaussian and Exponential Weighting Bandwidth	Floating point	`DW_BANDWIDTH`	-	Minimum: 0.000000 Default: 5.000000
(*) optional

Command-line

Usage: saga_cmd imagery_segmentation 2 [-FEATURES <str>] [-VARIANCE <str>] [-SEED_GRID <str>] [-SEED_POINTS <str>] [-SEED_TYPE <str>] [-METHOD <str>] [-BAND_WIDTH <double>] [-NORMALIZE <str>] [-DW_WEIGHTING <str>] [-DW_IDW_POWER <double>] [-DW_IDW_OFFSET <str>] [-DW_BANDWIDTH <double>]
  -FEATURES:<str>       	Features
	Grid list (input)
  -VARIANCE:<str>       	Variance
	Grid (output)
  -SEED_GRID:<str>      	Seeds Grid
	Grid (optional output)
  -SEED_POINTS:<str>    	Seed Points
	Shapes (optional output)
  -SEED_TYPE:<str>      	Seed Type
	Choice
	Available Choices:
	[0] minima of variance
	[1] maxima of variance
	Default: 0
  -METHOD:<str>         	Method
	Choice
	Available Choices:
	[0] band width smoothing
	[1] band width search
	Default: 0
  -BAND_WIDTH:<double>  	Bandwidth (Cells)
	Floating point
	Minimum: 1.000000
	Default: 10.000000
  -NORMALIZE:<str>      	Normalize Features
	Boolean
	Default: 0
  -DW_WEIGHTING:<str>   	Weighting Function
	Choice
	Available Choices:
	[0] no distance weighting
	[1] inverse distance to a power
	[2] exponential
	[3] gaussian weighting
	Default: 3
  -DW_IDW_POWER:<double>	Inverse Distance Weighting Power
	Floating point
	Minimum: 0.000000
	Default: 1.000000
  -DW_IDW_OFFSET:<str>  	Inverse Distance Offset
	Boolean
	Default: 1
  -DW_BANDWIDTH:<double>	Gaussian and Exponential Weighting Bandwidth
	Floating point
	Minimum: 0.000000
	Default: 5.000000