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