Classification of Multi-Spectral Remote Sensing Image Based on Resource Limited Artificial Immune System

In this paper,some initial investigations are conducted to employ resource limited artificial immune system(RLAIS) for classification of multi-spectral remote sensing image.The proposed method trains the samples of regions of interest using the RLAIS and obtains the optimal the centers of classification.Image classification task by RLAIS is attempted and the preliminary results are provided.By the experiment,it is demonstrated that the method of this paper is superior to the three traditional algorithms,and its overall accuracy and Kappa coefficient reach 91% and 0.88 respectively.