MorphologicalClassification - Morphological Classification¶

Performs morphological convex, concave and flat classification on an input image channel

Detailed description¶

This algorithm is based on the following publication: Martino Pesaresi and Jon Alti Benediktsson, Member, IEEE: A new approach for the morphological segmentation of high resolution satellite imagery. IEEE Transactions on geoscience and remote sensing, vol. 39, NO. 2, February 2001, p. 309-320.

This application perform the following decision rule to classify a pixel between the three classes Convex, Concave and Flat. Let $f$ denote the input image and $\psi_{N}(f)$ the geodesic leveling of $f$ with a structuring element of size $N$ . One can derive the following decision rule to classify $f$ into Convex (label $\stackrel{\smile}{k}$ ), Concave (label $\stackrel{\frown}{k}$ ) and Flat (label $\bar{k}$ ): $f(n) = \begin{cases} \stackrel{\smile}{k} & : f-\psi_{N}(f)>\sigma \\ \stackrel{\frown}{k} & : \psi_{N}(f)-f>\sigma \\ \bar{k} & : \mid f - \psi_{N}(f) \mid \leq \sigma \end{cases}$

The output is a labeled image (0 : Flat, 1 : Convex, 2 : Concave)

Parameters¶

This section describes in details the parameters available for this application. Table [1] presents a summary of these parameters and the parameters keys to be used in command-line and programming languages. Application key is MorphologicalClassification .

[1]	Table: Parameters table for Morphological Classification.

Parameter Key	Parameter Name	Parameter Type
in	Input Image	Input image
out	Output Image	Output image
channel	Selected Channel	Int
ram	Available RAM (Mb)	Int
structype	Structuring Element Type	Choices
structype ball	Ball	Choice
structype cross	Cross	Choice
radius	Radius	Int
sigma	Sigma value for leveling tolerance	Float
inxml	Load otb application from xml file	XML input parameters file
outxml	Save otb application to xml file	XML output parameters file

Input Image: The input image to be classified.
Output Image: The output classified image with 3 different values (0 : Flat, 1 : Convex, 2 : Concave).
Selected Channel: The selected channel index for input image.
Available RAM (Mb): Available memory for processing (in MB).
Structuring Element Type: Choice of the structuring element type. Available choices are:

Ball

Cross

Radius: Radius of the structuring element (in pixels), default value is 5.
Sigma value for leveling tolerance: Sigma value for leveling tolerance, default value is 0.5.
Load otb application from xml file: Load otb application from xml file.
Save otb application to xml file: Save otb application to xml file.

Example¶

To run this example in command-line, use the following:

otbcli_MorphologicalClassification -in ROI_IKO_PAN_LesHalles.tif -channel 1 -structype ball -radius 5 -sigma 0.5 -out output.tif

To run this example from Python, use the following code snippet:

#!/usr/bin/python

# Import the otb applications package
import otbApplication

# The following line creates an instance of the MorphologicalClassification application
MorphologicalClassification = otbApplication.Registry.CreateApplication("MorphologicalClassification")

# The following lines set all the application parameters:
MorphologicalClassification.SetParameterString("in", "ROI_IKO_PAN_LesHalles.tif")

MorphologicalClassification.SetParameterInt("channel", 1)

MorphologicalClassification.SetParameterString("structype","ball")

MorphologicalClassification.SetParameterInt("radius", 5)

MorphologicalClassification.SetParameterFloat("sigma", 0.5)

MorphologicalClassification.SetParameterString("out", "output.tif")

# The following line execute the application
MorphologicalClassification.ExecuteAndWriteOutput()

Limitations¶

Generation of the morphological classification is not streamable, pay attention to this fact when setting the radius size of the structuring element.

Authors¶

This application has been written by OTB-Team.