Imagery: Segmentation and
ClassificationJeff Allenby – Chesapeake Conservancy
Mark Romero – Esri
Agenda
• Overview of Image Classification
• ArcGIS Pro Image Classification
• ArcMap Classification
• Tips and Resources
• Chesapeake Conservancy Impervious Surface Extraction
Image Classification
• Supervised or Unsupervised
• Object or Pixel Based
• Assigning Classes in a LULC System
• Outputs are used to create thematic maps
• Supporting Layer in a GIS
Remote Sensing Image ClassificationThree Main Techniques
Supervised
Object
Unsupervised
Supervised
Object
Unsupervised
Pixel or Object Based
Unsupervised
Choose Image
ISO Clusters
Assign Classes
Clean Up
Merge Classes
GOAL
Pixel Based
Supervised
Choose Image
Training Samples
Maximum Likelihood
Accuracy
Classify
GOAL
Supervised
Choose Image
Segmentation
Training Samples
Accuracy
Support Vector
Machine
GOAL
Classify
Object Classification
Object-Oriented Classification
Software Requirements
• ArcMap 10.3.1 to 10.5
• ArcGIS Pro 1.2 to 1.4
- Wizard starts at 1.3
• Spatial Analyst Extension
DemoClassification in ArcGIS Pro
ResourcesDemos and Exercises
• Help System
• Spatial Analyst Toolset
• Blog Post Exercise
• Learn ArcGIS
• GeoNet Imagery & Remote Sensing
• Esri Training
- Image Analysis with ArcGIS
- Classify Imagery using ArcGIS