生态环境变化趋势的物元可拓识别及其效果检验

Recognition Model of Matter element and Extension for Ecological Environmental Change

为了建立森林火灾后生态变化趋势的分类识别模型 ,在确定判别指标及分类标准的基础上 ,针对火灾后生态变化遥感监测资料和调查信息的复杂性以及单因素识别与类别划分结果之间的不相容性特点 ,应用物元可拓集方法 ,构造物元矩阵 ,根据计算出的关联度值大小对森林火灾后生态变化趋势进行可拓识别 .实例分析表明 :物元可拓法应用于森林生态变化趋势识别结果与实际调查结果基本吻合 .

In order to approach a c lassification recognition model of the ecological change trend after forest fire , on the basis of determining the major factors and evaluation criteria, conside ring the non compatible feature between the single recognitions and evaluation results as well as the complexity of remote sensing information for ecological change monitoring after forest fire, a classification recognition model is appr oached for the ecological change trend after forest fire by using the matter el ement and extension set. The verification of the cases shows that it is reasonab le and practicable to discriminate the classification of ecological change trend after forest fire by using matter element and extension set.