由红外遥感数据反演地物的物元可拓识别方法

A Recognition Model for Plant Cover Parameter Retrieval of Infrared Remote Sensing Based on Matter element and Extension Sets

遥感参数数据往往类别多 ,混合度大 ,由它反演地物类别是一个不相容问题。为了研究由红外遥感数据快速有效地识别地物类别 ,提出用物元可拓集理论构造不同地物类别的标准物元矩阵和节域物元矩阵 ,计算待识别对象与各类地物的关联度 ,根据关联度大小判断地物的类别。通过实例分析验证了物元可拓集应用于红外遥感参数数据反演地物类别的简单合理性和有效性。

An approach is carried out to recognize the plant cover classification by IR remote sensing parameters rapidly and effectively.Plant cover classification retrieval is a non compatible problem because of the multiclassification and multi compound degree of remote sensing parameter data.The approach is based on constructing classical and extensional matter element matrixes for various plant cover classification using matter element and extension set,calculating the cognate degrees between the body to be recognized and various plantcover,and recognized the plant cover classification according to the magnitude of cognate degree.Verification to cases show that it is simple,reasonable and effective to retrieve plant cover classification based on IR remote sensing parameter data using matter element and extension sets.