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Research on Computation Model and Key Parameters of AIRS Supervised Classification in Remote Sensing Images

A framework of remote sensing images classification based on Artificial Immune Recognition System (AIRS) is present in this papers. The relation between key parameters and the classification results are analyzed. As shown in the experiment results, the new framework inherits robustness of AIRS relative to key parameter. Experimental results show that this framework is better than Maximum Likelihood Classification method.