应用生态学报2011，Vol.22Issue(11)：2935-2942,8.
基于小波变换的土壤有机质含量高光谱估测术
Hyper-spectral estimation of soil organic matter content based on wavelet transformation
摘要
Abstract
A total of 60 soil samples with approximate contents of N, P, and K and greatly different content of organic matter were selected by statistical analysis. Through hyper-spectral detection and analysis, the first derivative spectrum of the soil logarithmic reflectance was obtained, and was decomposed by the Bior 1. 3 wavelet function. The approximative signal of the lowest frequency and the noise signal of the highest frequency were removed from the input spectrum so as to obtain the characteristic spectrum corresponding to soil physical and chemical parameters. The sensitive bands of soil organic matter were selected by correlation analysis, and the forecasting models were built by multiple regression analysis, based on the sensitive bands and the characteristic spectrum, respectively. Through comparison analysis, the optimal wavelet decomposing resolution for extracting the characteristic spectrum of soil organic matter was ascertained, and the best forecasting model was established. The best wavelet decomposing resolution was 9, followed by 8 and 10. Based on the characteristic spectrum of wavelet decomposing of 9 resolutions, the model R2 reached 0. 89, which was increased by 0. 31 as compared to the model based on sensitive bands, and increased by 0. 10 as compared to the model based on the original spectrum.关键词
高光谱/土壤有机质/小波变换/特征光谱Key words
hyper-spectra/soil organic matter/wavelet transformation/characteristic spectrum.分类
天文与地球科学引用本文复制引用
陈红艳,赵庚星,李希灿,朱西存,隋龙,王银娟..基于小波变换的土壤有机质含量高光谱估测术[J].应用生态学报,2011,22(11):2935-2942,8.基金项目
高校博士点科研基金项目(20103702110010)资助. （20103702110010）
