为了提高遥感图像检索的有效性和准确性，提出了一种基于人工免疫系统的遥感图像检索算法。该算法根据相关反馈技术及免疫机理，利用克隆选择算法对用户反馈的图像特征进行泛化学习，从而提高了系统对用户语义的理解能力。实验结果表明，该算法不仅能有效理解用户的反馈信息，而且能提高检索的准确性。

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.