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地物波谱组合识别模型参数的遗传优化
PARAMETER OPTIMIZATION OF RECOGNITION MODEL OF LANDMARK SPECTRUM COMPOSITION BASED ON GENETIC ALGORITHM
【摘要】 为了从TM影像中提取不同地物波谱信息特征 ,构造了地物波谱组合识别函数关系式 ,提出了从地物TM影像中分辨出地物的一般原则 ,并采用遗传算法优化确定地物波谱组合识别函数关系式中的系数 .根据不同地物与函数值分布范围的对应关系 ,可以较容易地由TM影像作出多种不同地物的识别 .实例分析表明这种地物波谱组合识别模型具有简单性、实用性和可分辨性等特点
【Abstract】 In order to extract the information characterization of landmark spectrum out of TM image, the functional relation of recognition of landmark spectrum compositions was constructed and the general principle of landmark recognition out of TM image was proposed. Genetic algorithm(GA) was applied to optimize the coefficients of functional relation of landmark spectrum composition. It is very easy to recognize each landmark from TM image, according to the correspondent relation between each landmark and the ranges of function values. The analysis of cases shows that this recognition model of landmark spectrum composition has the properties of simplicity, practicability and differentiation.
【Key words】 landmark spectrum; TM image; image recognition; genetic algorithm; GA optimization.;
- 【文献出处】 红外与毫米波学报 ,Journal of Infrared and Millimeter Waves , 编辑部邮箱 ,2002年03期
- 【分类号】TP751
- 【被引频次】15
- 【下载频次】81