Erdas Imagine Unsupervised Classification

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.

[@ranjankumar7347]

how automatic detecting the pixel of different vegetation ,water ...and others so on.

[@syedanaqshezahra4149]

Can you help me which procedure we will adopt to classify soil salinity of area of interest using landsat 8 image in ERDAS imagine?

[@ranjankumar7347]

sir how are you getting the name in notepad that i couldnot understand please explain

[@ranjankumar7347]

note pad iy is automatically show this is water this is vegetation how