Erdas Imagine Unsupervised Classification

Rate this post

This tutorial demonstrates how to perform Unsupervised Classification of a Landsat 8 Image using Erdas Imagine software.

Unsupervised classification is a classification method which examines a large number of unknown pixels and divides into a number of clusters based on natural groupings present in the image values. unlike supervised classification, unsupervised classification does not require analyst-specified training data. The user manually identifies each cluster with land cover classes.

Check Also

Creating a simple NDVI Spatial Model

Creating a simple NDVI Spatial Model

Rate this post Creating a simple NDVI Spatial Model Learn how to you create your ...

Leave a Reply

Your email address will not be published. Required fields are marked *