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

Part 5 of 5: How To create a Spatial Model

How To create a Spatial Model using ERDAS

Rate this post How To create a Spatial Model How To create a Spatial Model ...

Leave a Reply

Your email address will not be published.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