View this Getting Started booklet: classify.pdfImage Classification

When you want to map ground features (what is corn, what is wetland, what is forest), you can use color multi-spectral satellite images and airphotos to separate feature classes. Standard image classification models work on the spectral components of each ground cover in remotely sensed imagery. Some methods are completely automatic; others take advantage of your ability to identify known ground cover in sample locations.

  • unsupervised classification
  • class / distance rasters
  • masking processing area
  • Fuzzy C Means
  • maximum likelihood
  • minimum distance
  • using ground truth
  • K Means
  • co-occurrence analysis
  • ISODATA classification
  • classification dendrograms
  • stepwise linear
View this Getting Started booklet: classify.pdf Image Classification   (file date: 3 Mar 13)

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