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Steps for Principal Component Analysis (pca) using ERDAS software

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PCA

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  • Hello Swetha Ashok thanks very much for uploading some reaaly helpful slides on ERDAS. would you please upload some more slides on ERDAS especially classification and some introductory slides for using ERDAS Imagine thanks
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Steps for Principal Component Analysis (pca) using ERDAS software

  1. 1. PRINCIPAL COMPONENT ANALYSIS BY SWETHA. A 5WD12CGI15
  2. 2. DEFINITION  It’s a mathematical procedure that uses orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.
  3. 3. Run ERDAS .  Open a viewer 1.  Select “Interpreter” from toolbar.  From interpreter select “Spectral Enhancement". Further select “Principal Component” and window appears as shown. 
  4. 4.     Open the input file and specify the output Number of components desired as 4 Mention the output file matrix. Press ok and modeler runs as shown .
  5. 5.   While selecting each layers, open the output file, single click, go to raster options, change “display as:’ gray scale and layer as 1. Similarly repeat the above procedure to view individual layers.
  6. 6. LAYER 1: O/P:URBAN AREA AND WATER REGIONS ARE HIGHLIGHTED.
  7. 7. LAYER 2: O/P: VEGETATION REGIONS ARE HEIGHTENED .
  8. 8. LAYER 3: O/P
  9. 9. LAYER 4: O/P: ALL FEATURES ARE HIGH LIGHTENED AND IMAGE IS BLUR.
  10. 10. COMBINATION OF ALL LAYERS
  11. 11. THANKS

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