ERDAS

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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ERDAS Imagine: Classification using Maximum likelihood Classifier

ERDAS Imagine: Classification using Maximum likelihood Classifier

This video demonstrates how to perform image classification using Maximum likelihood Classifier in ERDAS Imagine. In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model given observations, by finding the parameter values that maximize the likelihood of making the observations given the parameters. MLE can be seen as a special case of the ...

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Erdas Imagine Spectral Profile for Vegetation, Built Up and Water class in Landsat 8

Erdas Imagine Spectral Profile for Vegetation, Built Up and Water class in Landsat 8

This tutorial demonstrates how to compute Spectral Profile for for Vegetation, Built Up and Water class in Landsat 8 using ERDAS Imagine. Spectral signature is the reflectance as a function of wavelength, each material has a unique signature, therefore it can be used for material classification. The Spectral Profile Viewer allows you to visualize the reflectance spectrum of a single ...

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Erdas Imagine NDBI (Built up) using Model Maker or Spatial Modeller for Landsat 8

Erdas Imagine NDBI (Built up) using Model Maker or Spatial Modeller for Landsat 8

This tutorial demonstrates how to calculate NDBI using ERDAS Imagine Model Maker or Spatial Modeller. The Normalized Difference Built upIndex (NDBI) is an index of built up or urban areas where there is typically a higher reflectance in the shortwave-infrared (SWIR) region, compared to the near-infrared (NIR) region. NDBI = (SWIR – NIR) / (SWIR + NIR ) NDBI values ...

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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.

Read More »

Erdas Imagine Unsupervised Classification

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 ...

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Erdas Imagine MNDWI (Water) using Model Maker or Spatial Modeller for Landsat 8

Erdas Imagine MNDWI (Water) using Model Maker or Spatial Modeller for Landsat 8

This tutorial demonstrates how to calculate MNDWI using ERDAS Imagine Model Maker or Spatial Modeller The Modified Normalized Difference Water Index (MNDWI) is is an index of open water features and produce much better result in comparison to NDWI Indices. MNDWI = (GREEN— SWIR)/(GREEN + SWIR) This index maximizes reflectance of water by using green light wavelengths and minimizes low ...

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Erdas Imagine Satellite Image Layer Stacking

Erdas Imagine Satellite Image Layer Stacking

This tutorial demonstrates how to layer stack or create a multi-band image from individual satellite images (band) using Erdas Imagine software and Landsat 8 Image. Downloaded Remote sensing satellite image is distributed in the form of band. In order to use the data in the typical manner in most geospatial software packages we need to combine the individual bands in ...

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