树木生长量远程遥测数据失真支路识别方法

The Recognition Method about its Application of"Chest Radius Data Radio Telemeter Data Distortion Side-path"

依据模糊C均值聚类分析原理,充分利用来自测量数据本身所蕴含的信息,提出了一种识别多路容栅胸径数据无线遥测仪中数据失真支路的方法。以6路全为有效数据、6路中只有一路数据失真、6路中有两路或两路以上数据失真等3种类别为对象,对随机抽取的5组实际测量样本进行识别计算,并与现场实际对比。结果表明:该方法对只有一路失真数据的正确识别特别有效,而对于两路或多于两路数据失真识别该算法效果不好,需要寻找新的识别方法。

Here we proposed a fuzzy recognition method which is based on mean C assorting analysis.This application could recognize the loss data side way from the radio telemeter.Setting all 6 paths are valid,one path invalid,and two and two more paths invalid three situations.17samples are calculated and later are aligned with the practice.The results shown: this application could gain accuracy;It is only effective to one path invalid case.But not work for two and two more paths invalid.More practical and popular applications are really in need.