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基于人工免疫系统的遥感图像检索 被引量：3

Remote Sensing Image Retrieval Based on Artificial Immune System
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摘要 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.
作者 耿利川 吴云东 耿则勋 王永刚
机构地区 信息工程大学测绘学院 [ 集美大学理学院
出处 《中国图象图形学报》 CSCD 北大核心 2010年第1期155-160,共6页 Journal of Image and Graphics
关键词 人工免疫系统 遥感图像检索 相关反馈 克隆选择 artificial immune system, remote sensing image retrieval, relevance feedback, clonal selection
分类号 TP391.3 [自动化与计算机技术—计算机应用技术] TP751.1 [自动化与计算机技术—检测技术与自动化装置]
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参考文献10

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二级参考文献19

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共引文献44

同被引文献47

  • 1吴冬升,吴乐南,黄波.基于小波模糊聚类的均质纹理和非均质纹理图象检索[J].中国图象图形学报（A辑）,2003,8(12):1400-1405. 被引量：9
  • 2曾志明,李峰,傅琨,丁赤飚.一种大尺寸遥感图像基于内容检索的纹理特征提取算法[J].武汉大学学报（信息科学版）,2005,30(12):1080-1083. 被引量：5
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中国图象图形学报
2010年 第1期

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