CAJ | 학술논문

为了提高遥感图像检索的准确性,提出了一种基于人工免疫系统（artificial immune system）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,该算法能有效理解用户的反馈信息,能提高检索的准确性。
위료제고요감도상검색적준학성,제출료일충기우인공면역계통（artificial immune system）적요감도상검색산법。해산법근거상관반궤기술급면역궤리,이용극륭선택산법대용호반궤적도상특정진행범화학습,종이제고료계통대용호어의적리해능력。실험결과표명,해산법능유효리해용호적반궤신식,능제고검색적준학성。
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 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.