在介绍蜜蜂模型的基础上,提出产生最佳Tuned模板的蜜蜂交配算法,简称HBMTU算法。阐述了该算法与蜜蜂模型主要要素之间的映射关系和算法的具体运行步骤。通过对实际航空影像的实验表明,该算法能在现有方法提供最佳模板的基础上,使影像分类的质量有所提高。
This paper introduces a honey-bee model and provides a new method of producing better "Tuned" masks with honey-bee mating optimization(HBMTU), which is applied to texture classification of aerial images. The experiments show that the proposed method can improve the quality of tuned mask and classification precision.