4UnsupervisedClassificationPowerpnts

4UnsupervisedClassificationPowerpnts - Unsupervised...

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Unsupervised Classification
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Introduction to Digital Image Classification • Qualitative Classification – Imposed structure rather than – Allowing structure of data to speak for itself – Image Enhancement involves • Use of expert knowledge to classify image – Density slicing – Image Enhancement –F i l
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Unsupervised Classification • Special meaning of map classification in digital image analysis – Imagery as maps of reflected ER in multiple wavelengths – Brightness Values are numeric values, digits – Use quantitative analysis to sort out groups or clusters of spectral information – Unsupervised Classification is Cluster Analysis – Most objective way of classifying scenes in GIScience
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Spectral or Point Classifiers • Classify scene based on individual pixel bvs • Spectral Classes into Information Classes • Land cover into Land Use • Two Step Inference
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Information Classes
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Two Step Inference • Analyst chooses number of classes • Analyst gives spectral classes an information class name • Multiple spectral classes per feature • Golf Course Example – Golf Link – Area around hole – Sand trap – Ponds –T
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Advantages of Unsupervised • Chief Advantage is objectivity – Minimal decisions by analyst
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This note was uploaded on 12/21/2010 for the course GIS 4037c taught by Professor Roberts during the Spring '10 term at FAU.

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4UnsupervisedClassificationPowerpnts - Unsupervised...

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