Evaluating classification results (part 1) - Monde GEOspatial

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Evaluating classification results (part 1)

In this video you will see how to use separability to quantifiy the quality of your training sets and corresponding classes.


  1. Basics of Erdas Imagine: Import, Layer Info, Blend, Swipe, Layer Stack (Part 1)
  2. Basics of Erdas Imagine: Import, Layer Info, Blend, Swipe, Layer Stack (Part 2)
  3. Downloading Landsat Data and first steps (Layer Info, Layer Stack, Spectral Info) in Erdas Imagine
  4. Georeferencing using Erdas Imagine: image to image (part 1 of 2)
  5. Georeferencing using Erdas Imagine: image to image (part 2 of 2)
  6. Spectral characterization of objects (unsupervised classification part 1)
  7. k-means / ISODATA (unsupervised classification part 2)
  8. Unsupervised classification in Erdas Imagine (unsupervised classification part 3)
  9. Ways of evaluating an unsupervised classification (unsupervised classification part 4)
  10. Supervised classification using erdas imagine (part 1)
  11. Supervised classification using erdas imagine (part 2)
  12. Supervised classification using erdas imagine (part 3)
  13. Supervised classification using erdas imagine (part 4)
  14. Evaluating classification results (part 1)
  15. Evaluating classification results (part 2)
  16. Evaluating classification results (part 3)
  17. Analysis of digital elevation models and usage of conditional statements in Erdas Imagine
  18. DOS in Erdas Imagine
  19. Changedetection with Band Differencing and Band Rationing
  20. Calculating the NDVI with landsat data manually

Credit : Riccardo Klinger


Evaluating classification results (part 1) Reviewed by Andre fonseca on December 26, 2017 Rating: 5 In this video you will see how to use separability to quantifiy the quality of your training sets and corresponding classes. Dow...

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