TNTmips

Image 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

	PDF Release Version (file date: Thursday, 31-Aug-2006 11:38:00 CDT)
	Pagemaker 6.5 format
	Sample Data needed for the tutorial exercises: Crow Butte , Berea , Cropdata

Translations Available:

SRP NLD ENG FIN FRA DEU ITA JPN KOR SPA RUS TUR

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Index of all booklets ...

13 May 2008
page update: 24 Aug 07

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