Image Analysis in ArcGIS Pro
Strictly by pre-registration only
What is this course about?
Learn best practices and workflows to enhance visualisation and extract meaningful information from satellite imagery, unmanned aerial vehicle (UAV)-collected data, and other remotely sensed data. This course covers dynamic raster processing options available in ArcGIS and takes you on an in-depth exploration of image classification. You will use three classification methods to categorise land cover features and learn how to determine which method is appropriate for a given project and dataset.
This course is for: GIS professionals and imagery analysts in the private sector and civilian government agencies who need to perform visualisation and analysis of images.
Course details
Price
SGD960.00
Location
Singapore
Duration
2 days
Level
Intermediate
Category
ArcGIS Pro Workflows
Are there any prerequisites?
Completion of ArcGIS Pro: Essential Workflows or Migrating from ArcMap to ArcGIS Pro or equivalent knowledge.
What skills will I learn?
After completing this course, you will be able to:
- Apply dynamic raster functions to enhance imagery display and perform change detection.
- Perform image classification and assess the accuracy of results.
- Post-process classified thematic rasters to support analysis needs.
- Work with derived information products including digital elevation models.
What can I expect?
- Course topics
Raster functions
- Manipulating raster data
- What are raster functions?
- Benefits of raster functions
- Consider raster function parameters
- Types of raster functions
Raster function templates
- What are raster function templates?
- Raster function template components
- Evaluate a raster function template
Raster-based change detection
- Change detection types
- Choosing types of change detection
- Raster-based change detection workflow
- Preprocessing methods for change detection
Change detection for operations
- Defining image classification
- Describing image classification outputs
- Image classification types
- Image classification methods
- Choosing image classification techniques
Classification workflows
- Unsupervised image classification workflow
- Supervised image classification workflow
- Classifying a raster with the Image Classification Wizard
Segmentation
- What is segmentation?
- Segmentation parameters
- Segmentation parameter exploration
Training the classifier
- Training sample considerations
- Types of image classification algorithms
Classification evaluation
- Pixel Editor functionality
- Compare Pixel Editor operations
- Postprocessing classification results
- Accuracy assessment workflow
- Accuracy assessment statistics
Image analysis with deep learning
- What is deep learning?
- Deep learning tasks for image analysis Model Inferencing in ArcGIS Pro
- The deep learning analysis workflow