In this paper

a new method

namely the multi feature based method

was presented to classify remotely sensed imagery. A class scheme was firstly defined

in which

every class was decomposed into subclasses if necessary. Then

some suitable features were selected

and every subclass was characterized with a unique combination of these features. Meanwhile

the whole imagery was segmented into image objects

and subsequently the features used were measured

like spectral

geometrical and topological features. Using these features

image objects could be recognized and classified easily. By using the multi features based classification approach

classification accuracy was improved

and the classification results were easier interpreted when compared with the conventional classification method.