华东师范大学学报(自然科学版) ›› 2003, Vol. 2003 ›› Issue (1): 48-54.

• 论文 • 上一篇    下一篇

基于遗传算法的地下遗址GPR数据分析

姚萌；孟海燕   

  1. 华东师范大学 电子系，上海 200062
  • 收稿日期:2001-12-08 修回日期:2002-10-13 出版日期:2003-03-25 发布日期:2003-03-25

An Application of Genetic Algorithm in GPR Data Analysis for Buried Tomb Relics

YAO Meng; MENG Hai-yan   

  1. Department of Electronic Science and Technology, East China Normal University, Shanghai 200062, China
  • Received:2001-12-08 Revised:2002-10-13 Online:2003-03-25 Published:2003-03-25

摘要： 作者以遗传算法（Genetic Algorithm）为手段，介绍一种探地遥感数据分类的新方法。从一系列EM雷达信号图像获得的必要的物体相关信息，基于简单遗传算法（SGA）对其进行数据采集处理可达到较好结果。图像经过与处理后，探测目标定位任务转换为曲线拟合。除了利用SGA的遗传性，在解决实际问题时加入了专家经验和环境条件。和传统的分类方法相比，遗传算法(GA)咋usouxun目标的速度和准确度上都有所提高。作者提出了在遗迹探测领域中对地下物体进行定位的一种可行的方法。在今后的工作中将使用复杂GA进行遗迹的三维建模。

关键词: 数字图像处理, 遗传算法, 遥感目标机器分类, 数字图像处理, 遗传算法, 遥感目标机器分类

Abstract: This article introduces a new application of Genetic Algorithm in the field of remote sensing (Signal's data classifier). Based on Simple Genetic Algorithm, an improved performance could be attained through the data mining process with necessary object-related information from a seties of EM radar signal images. After the preprocessing stage, the target's lacating task could be modeled into a curve imitation process. Beyond the heredity from SAG, expert knowledge and environment conditions are put into consideration in the practical problem resolution. We suggest a possible way to locate the underground object in the relics detecting field. Compare with ordinary calssifier method GA is better on speed and accuracy of searching on target. In further work we shall pattern 3-D model of the relics using complex GA.

Key words: genetic algorithm, remote sensing targets classifier, digital image process, genetic algorithm, remote sensing targets classifier