Comparative Analysis of Data Mining Approaches in Remote Sensing
نویسندگان
چکیده
In this article we describe five major classification approaches and provide a comparative analysis on a multispectral image. First we define the classification problem as following. Given a sample set of input-output pairs, the objective of supervised classification is to find a function that learns from the given input-output pairs, and predicts an output for any unseen input (but assumed to be generated from the same distribution), such that the predicted output is is as close as possible to the desired output. The name “supervised” comes from the fact that the input-output example pairs are given by an expert (teacher). We now describe five major classification schemes.
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