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SOUTH AFRICAN QUALIFICATIONS AUTHORITY 
REGISTERED UNIT STANDARD THAT HAS PASSED THE END DATE: 

Process and prepare a digital image 
SAQA US ID UNIT STANDARD TITLE
244505  Process and prepare a digital image 
ORIGINATOR
SGB Air Defence 
PRIMARY OR DELEGATED QUALITY ASSURANCE FUNCTIONARY
-  
FIELD SUBFIELD
Field 08 - Law, Military Science and Security Sovereignty of the State 
ABET BAND UNIT STANDARD TYPE PRE-2009 NQF LEVEL NQF LEVEL CREDITS
Undefined  Regular  Level 5  Level TBA: Pre-2009 was L5  8 
REGISTRATION STATUS REGISTRATION START DATE REGISTRATION END DATE SAQA DECISION NUMBER
Passed the End Date -
Status was "Registered" 		 2007-08-16  2010-08-16  SAQA 0572/07 
LAST DATE FOR ENROLMENT LAST DATE FOR ACHIEVEMENT
2011-08-16   2014-08-16  

In all of the tables in this document, both the pre-2009 NQF Level and the NQF Level is shown. In the text (purpose statements, qualification rules, etc), any references to NQF Levels are to the pre-2009 levels unless specifically stated otherwise.  

This unit standard does not replace any other unit standard and is not replaced by any other unit standard. 

PURPOSE OF THE UNIT STANDARD 
This unit standard will enable learners to understand the importance of pre-processing operations in relation to digital imaging. Learners will also be able to conduct image enhancement operations and information extraction operations on a digital image. This will enable learners to improve the visual interpretability of images and provide them with the competencies to discriminate between image features for purposes of analysis of digital images.

A person credited with this unit standard is able to:
  • Perform pre-processing operations on a digital image.
  • Perform image enhancement operations on a digital image.
  • Perform information extraction operations on a digital image.
  • Prepare a digital image for analysis. 
    		•

    LEARNING ASSUMED TO BE IN PLACE AND RECOGNITION OF PRIOR LEARNING 
  • Apply image analysis methodology at NQF Level 5.
  • Manipulate digital image data. 
    		•

    UNIT STANDARD RANGE 
    N/A 

    Specific Outcomes and Assessment Criteria: 

    SPECIFIC OUTCOME 1 
    Perform pre-processing operations on a digital image. 

    ASSESSMENT CRITERIA     

    ASSESSMENT CRITERION 1 
    The importance of pre-processing is explained with examples. 

    ASSESSMENT CRITERION 2 
    Corrections on an image are performed in order to reach a standard, which is acceptable to be analysed. 
    ASSESSMENT CRITERION RANGE 
    Corrections refer to but are not limited to radiometric corrections, geometric corrections and atmospheric corrections.
     

    SPECIFIC OUTCOME 2 
    Perform image enhancement operations on a digital image. 

    ASSESSMENT CRITERIA     

    ASSESSMENT CRITERION 1 
    The importance of image enhancement is explained with examples. 

    ASSESSMENT CRITERION 2 
    Spectral enhancements are performed to augment the quality of the image. 
    ASSESSMENT CRITERION RANGE 
    Enhancements include but are not limited to density slicing, contrast stretching and histogram conversion.
     

    ASSESSMENT CRITERION 3 
    Multi-spectral enhancements are performed to augment the quality of the image. 
    ASSESSMENT CRITERION RANGE 
    Enhancements include but are not limited to arithmetic operations, principal component analysis, Hue Saturation and Intensity (HSI) transform.
     

    ASSESSMENT CRITERION 4 
    Spatial filtering is performed to augment the quality of the image. 
    ASSESSMENT CRITERION RANGE 
    Filtering includes but is not limited to spatial frequency (Fourier transformation), convolution filter (smoothing or sharpening) and kernel size.
     

    SPECIFIC OUTCOME 3 
    Perform information extraction operations on a digital image. 

    ASSESSMENT CRITERIA     

    ASSESSMENT CRITERION 1 
    The process of supervised classification on a digital image is described to aid future analysis. 
    ASSESSMENT CRITERION RANGE 
  • Supervised classification includes but is not limited to class definition, feature selection, training data, classification and verification.
  • Software refers to organisation specific software used for image analysis.
     
    		•

    ASSESSMENT CRITERION 2 
    The techniques of supervised classification on a digital image is described in terms of their advantages, disadvantages and limitations. 
    ASSESSMENT CRITERION RANGE 
    Techniques include parallelpiped classifier, minimum distance classifier and maximum likelihood classifier.
     

    ASSESSMENT CRITERION 3 
    A supervised classification on a digital image is conducted using a prescribed technique. 

    ASSESSMENT CRITERION 4 
    An unsupervised classification on a digital image is conducted using a prescribed technique. 
    ASSESSMENT CRITERION RANGE 
    Unsupervised classification includes but is not limited to hierarchical clustering and non-hierarchical clustering.
     

    ASSESSMENT CRITERION 5 
    Alternative classification methods are described in terms of their advantages, disadvantages and limitations. 
    ASSESSMENT CRITERION RANGE 
    Methods includes but is not limited to fuzzy and knowledge based classification.
     

    SPECIFIC OUTCOME 4 
    Prepare a digital image for analysis. 

    ASSESSMENT CRITERIA     

    ASSESSMENT CRITERION 1 
    A digital mosaic is built using organisation specific software. 

    ASSESSMENT CRITERION 2 
    A sub-set image is created using organisation specific software. 

    ASSESSMENT CRITERION 3 
    Quality assurance activities are conducted prior to analysis. 


    UNIT STANDARD ACCREDITATION AND MODERATION OPTIONS 
  • An individual wishing to be assessed (including through RPL) against this Unit Standard may apply to an assessment agency, assessor or provider institution accredited by the relevant ETQA, or an ETQA that has a Memorandum of Understanding with the relevant ETQA.
  • Anyone assessing a learner against this Unit Standard must be registered as an assessor with the relevant ETQA or with an ETQA that has a Memorandum of Understanding with the relevant ETQA.
  • Any institution offering learning that will enable achievement of this Unit Standard or assessing this Unit Standard must be accredited as a provider with the relevant ETQA or with an ETQA that has a Memorandum of Understanding with the relevant ETQA.
  • Moderation of assessment will be conducted by the relevant ETQA at its discretion. 
    		•

    UNIT STANDARD ESSENTIAL EMBEDDED KNOWLEDGE 
    Purpose of processes and procedures of:
  • Sampling methods.
  • Data collection methods.

    Attributes, properties, characteristics related to:
  • Types and sources of spatial data.

    Cause and effect, implications of:
  • Implications of data quality on quality of planning outcomes.
  • Implications of data collection technique on usefulness and applicability of data.
  • Implications of selection of sampling methods on the accuracy and representivity of resulting data.

    Theory-rules, laws, principles:
  • Elementary statistics relating to values and groupings.

    Relationships, systems:
  • Understand the importance and role of data within the digital image analysis.

    Radiometric corrections:
  • Line dropouts.
  • De-striping.
  • Random noise suppression.

    Geometric corrections:
  • Systematic distortions.
  • Non-systematic distortions.
  • Geo-rectification.
  • Geo-registration.
  • resampling methods.
  • Ground control point.

    Atmospheric corrections:
  • Path radiance.
  • Reflected, emitted radiation and solar radiation. 
    		•

    UNIT STANDARD DEVELOPMENTAL OUTCOME 
    N/A 

    UNIT STANDARD LINKAGES 
    N/A 


    Critical Cross-field Outcomes (CCFO): 

    UNIT STANDARD CCFO IDENTIFYING 
    Identifying and solving problems in which responses display that responsible decisions using critical and creative thinking have been made when:
  • Need for specific types of data required to address the need to additional information.
  • Selecting the appropriate methods to collect the identified data needs. 
    		•

    UNIT STANDARD CCFO WORKING 
    Working effectively with others as a member of a team, group, organisation, and community during:
  • The management of the data collection exercise including co-ordinstion with other relevant groups. 
    		•

    UNIT STANDARD CCFO ORGANISING 
    Organising and managing oneself and one's activities responsibly and effectively when:
  • When executing the steps when collecting data. 
    		•

    UNIT STANDARD CCFO COLLECTING 
    Collecting, analysing, organising and critically evaluating information to better understand and explain:
  • Use and application of relevant data sets. 
    		•

    UNIT STANDARD CCFO SCIENCE 
    Using science and technology effectively and critically, showing responsibility towards the environment and health of others when:
  • Determining the sample size, population and data types. 
    		•

    UNIT STANDARD CCFO DEMONSTRATING 
    Demonstrating an understanding of the world as a set of related systems by recognising that problem-solving contexts do not exist in isolation when:
  • Understand the importance and role of data within the transport planning process and the relationship between the methods of data collection and the usefulness of data collected. 
    		•

    UNIT STANDARD ASSESSOR CRITERIA 
    N/A 

    UNIT STANDARD NOTES 
    N/A 

    QUALIFICATIONS UTILISING THIS UNIT STANDARD: 
      ID QUALIFICATION TITLE PRE-2009 NQF LEVEL NQF LEVEL STATUS END DATE PRIMARY OR DELEGATED QA FUNCTIONARY
    Core  58784   National Diploma: Geospatial Image Analysis  Level 5  NQF Level 05  Passed the End Date -
    Status was "Reregistered"     		 2020-07-30  As per Learning Programmes recorded against this Qual 


    PROVIDERS CURRENTLY ACCREDITED TO OFFER THIS UNIT STANDARD: 
    This information shows the current accreditations (i.e. those not past their accreditation end dates), and is the most complete record available to SAQA as of today. Some Primary or Delegated Quality Assurance Functionaries have a lag in their recording systems for provider accreditation, in turn leading to a lag in notifying SAQA of all the providers that they have accredited to offer qualifications and unit standards, as well as any extensions to accreditation end dates. The relevant Primary or Delegated Quality Assurance Functionary should be notified if a record appears to be missing from here.
     
    NONE 


    All qualifications and part qualifications registered on the National Qualifications Framework are public property. Thus the only payment that can be made for them is for service and reproduction. It is illegal to sell this material for profit. If the material is reproduced or quoted, the South African Qualifications Authority (SAQA) should be acknowledged as the source.