摘要
介绍了图像关联规则的相关概念,描述了传统的双种群遗传算法的执行过程;针对采用固定染色体交叉概率和染色体变异概率容易出现早熟、收敛速度较慢等问题,设计出了能自适应调整的染色体交叉算子和变异算子。最后将改进后的双种群遗传算法成功地运用到Landsat卫星遥感图像,实现了图像关联规则的提取,为退耕还林决策提供了有力的依据。
Firstly, this paper discussed definitions of image association rules and associated terms, described the process of the traditional doule population genetic algorithm. Secondly, proposed an new scheme that the double population genetic algorithm used the self-adaptable crossover operator and mutation operator according to the shortage of early convergence and stagnation in the traditional double population genetic algorithm based on unconvertible rate of crossover operator and mutation op- erator. Lastly, successfully applied the improved double populations genetic algorithm to mine the image association rules from Landsat satellite remote sensing images. It is useful for decreasing farmland to increase forest.
出处
《计算机应用研究》
CSCD
北大核心
2009年第6期2374-2376,共3页
Application Research of Computers
基金
国家科技支撑计划资助项目(2007BAG06B06)
关键词
图像数据挖掘
图像关联规则
自适应遗传算法
双种群
image data mining
image association rule
self-adaptable genetic algorithm
double populations