Remote Sensing Image Retrieval Based on Artificial Immune System
基于人工免疫系统的遥感图像检索

A novel remote sensing image retrieval method based on artificial immune system (AIS) is proposed in this paper. Based on the relevance feedback technology and the immune mechanism, clonal selection algorithm is used to learn and memorize the user feedback image feature, the recognition of customers' semantic target for system is improved. Experimental results show that this approach can recognize the user feedback information efficiently and improve the retrieval accuracy.