为了从TM影像中提取不同地物红外光谱信息特征 ,构造了地物光谱组合的函数关系式 ,提出了从地物TM影像中分辨出某类地物的一般原则 ,并采用遗传算法优化确定地物光谱组合关系式中的系数。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光谱识别模型具有简单性、实用性和可分辨性等特点。In order to extract the information characterization of landmark infrared spectrum out of TM image,it is necessary to construct the functional relation of landmark spectrum compositions and to propose the general principle of landmark recognition out of TM image.Genetic algorithm (GA) is 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国家自然科学基金项目 (4 990 10 13 );; 成都信息工程学院院管课题
