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Title
The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics
Author
Chen, Jun

ISPRS, Vol.34, Part 2W2, “Dynamic and Multi-Dimensional GIS", Bangkok, May 23-25, 2001
140
cover itself in the test area that causes the result. The result of
the test also indicates that the fully fuzzy classification method is
very important because the classification result is not objective if
the fuzziness is ignored in the process of training, classification
or accuracy evaluation. Fortunately, the auxiliary decision of the
geographical knowledge and information may strongly improve
the accuracy of RS image classification and information
extraction. At present, it has already used in so many studies.
We will also consider its fuzziness while using it.
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