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.