ERDAS

Acuuracy Assessment Via ERDAS Imagine 2014 (Easy Way)

Acuuracy Assessment Via ERDAS Imagine 2014 (Easy Way)

Acuuracy Assessment Via ERDAS Imagine 2014 (Easy Way) This Video is entitled as Accuracy assessment of Classified Image. Need to one classified Image, Subset Image, ERDAS iMAGINE Sofware. Need to know actual area land cover to understand the situation. Use Google Earth for identification of the land cover.

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Erdas Imagine Classification Accuracy Enhanced using Filling

Erdas Imagine Classification Accuracy Enhanced using Filling

This video demonstrates how to use fill tool to manually select a miss-classified area and assign it class. Unsupervised classification often results miss-classified or unclassified areas. Erdas Imagine provide Filling tool to manually select these areas and assign them roper class. This is based on user’s understand of the study area and visual inspection of the image.

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ERDAS Imagine: Classification using Minimum Distance Classifier

ERDAS Imagine: Classification using Minimum Distance Classifier

This video demonstrates how to perform image classification using Minimum Distance classifier in ERDAS Imagine. The minimum distance classifier (MDC) is an example of a commonly used ‘conventional’ classifier. The minimum distance classifier is used to classify unknown image data to classes which minimize the distance between the image data and the class in multi-feature space. The distance is defined ...

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