基于模糊模式识别的土壤含铁量高光谱估测

Hyperspectral Estimation of Soil Iron Content Based on Fuzzy Pattern Recognition

对横山县采集的84个土样350—2500 nm波段的光谱曲线进行了土壤含铁量光谱反演分析,证明了以包络去除法处理光谱数据为基础所建立的模糊贴近度反演模型为最佳,利用模糊贴近度识别进行土壤含铁量反演是可行的。

In this paper,the spectral curves of 84 soil iron samples collected from Hengshan County,350—2500 nm,were analyzed.The research results show that the fuzzy closeness degree inversion model based on the envelope removal method is the best.