Elements and Performance Criteria
- Determine appropriate digital image processing techniques.
- Appropriate image, merger and modelling techniques are determined according to organisational requirements and project specifications.
- Appropriate data collection and analysis techniques in remote sensing process are determined according to project requirements.
- Suitable digital image processing techniques and digital image data formats are selected.
- Additional characteristics of image and metadata are included.
- OHS issues are considered at all times.
- Skills and knowledge are updated to accommodate changes in operating environment and equipment.
- Select suitable computing platforms and software systems.
- Spatial computing platforms and software systems are assessed for suitability in line with the project specification.
- Availability of suitable data is verified with the potential suppliers.
- Constraints on use of spatial data are assessed against specification.
- Commercially available image processing systems are assessed to determine appropriate components, menu items, characteristics and statistics.
- Conduct image enhancements and manipulations.
- Perform supervised and unsupervised classifications on datasets.
- Thematic classifications and relative differentiations between supervised and unsupervised classification algorithms are determined.
- Supervised classifications of algorithms are conducted with the use of training areas.
- Hard copy outputs are produced according to specifications.
- Error analysis is applied to perform an approximate accuracy assessment of classifications.
- Conduct data merger and GIS integration.