基于AIRS的遥感图像检索特征权值调整方法

Feature Weight Assignment Based on AIRS for Remote Sensing Image Retrieval

针对当前图像检索中存在的有效特征提取问题,提出了一种基于人工免疫识别系统(AIRS)的特征权值调整方法。利用人工免疫识别系统的泛化学习及记忆的特点,对训练样本的特征值进行学习,从而确定各特征之间的权值分配。实验结果表明,与传统权值调整法相比,本方法能够为各特征提供较好的权值,提高图像检索的准确率。

In view of the effective feature extraction issue in current image retrieval, a feature weight as-signment method based on Artificial Immune Recognition System (AIRS) is promoted in this paper. The generalized learning and memory character of AIRS is used to learn the character of training samples, in order to determine the weight between the image features. Experimental results show that comparing to the traditional feature weight assignment method, this method can provide better feature weight, and improve the image retrieval accuracy.