CARIS HIPS and SIPS Help : CARIS Batch Utility : CZMIL Processes : Classify CZMIL Noise
 

Classify CZMIL Noise

Description

The ClassifyCZMILNoise process reads CZMIL data, breaks it into voxels and sends it to a classification algorithm locally, where the provided points are given a Noise Confidence and filtered.

Update

The source point attributes are updated as appropriate by the selected algorithm in the CZMIL CPF files.

Command Line Syntax

carisbatch -r ClassifyCZMILNoise -- noise-confidence-filter-threshold <value> <input>

User Interface Command

Classify CZMIL Noise

Options

The following table describes the parameters available for this process.

Parameter

 

Long

Short

Description

Can Repeat

Notes

 

--noise-confidence-filter-threshold

If set, the noise confidence filter threshold, between 0 and 100, will mark as Rejected any classified points with a confidence above this threshold.

FALSE

Example

To use this command refer to the following example.

Example

Objective

You need to identify and reject any data classed as noise in a CZMIL dataset.

Description

Command Line Syntax

A noise confidence filter threshold of 75 will be applied.

-- noise-confidence-filter-threshold 75

The data to be analyzed and rejected is in the CZMILPoints.hips file and is found in D:\SampleData.

D:/SampleData/Demo/Demo.hips

Command Line

carisbatch -r ClassifyCZMILNoise -- noise-confidence-filter-threshold 75 D:/SampleData/Demo/Demo.hips

Outcome

All points in the dataset that have a noise confidence greater than 75 will be flagged as Rejected.

Extra Notes

N/A