Collaborative multi-strategical classification for object-oriented image analysis
نویسندگان
چکیده
This paper deals with the description of the use of a collaborative multi-strategy classification applied to image analysis. This system integrates different kinds of unsupervised classification methods and produce for each classifier a result built according to the results of all the other methods. Each method occurrence tries to make its result converge towards the results of the other method occurrences thank to different operators. In this paper we highlight how classifiers collaborate and we present results in the paradigm of object-oriented classification of a VHR remotely sensed image of an urban area.
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