期刊论文

Using Direct Standardization algorithm to eliminate the effect of laboratory geometric parameters on soil hyperspectral data fluctuate characteristic

中文

华中师范大学学报(自然科学版)

1000-1190

2016

50

2

303-308

10.19603/j.cnki.1000-1190.2016.02.023

41401232:国家自然科学基金 41271537:国家自然科学基金 CCNU15A05006:中央高校基本科研业务费专项 CCNU15ZD001:中央高校基本科研业务费专项

本校为第一机构

土壤高光谱遥感是土壤近地传感器（Proximal Soil Sensing）研究的重要方向,具有方便快捷、无破坏、成本低等优点,可以高效地分析和估算土壤属性参数.土壤高光谱数据的采集在室内较野外容易控制环境因素（如土壤水分、土壤表面属性等）,获取数据更加稳定且具有可重复性,因而,基于室内高光谱数据反演土壤属性参数在国内外已形成较为成熟的理论.但是,室内土壤光谱数据的采集方法缺乏统一的标准体系,限制了光谱数据的共享,关键的几何测试条件不同而引起的光谱差异也未能消除,导致不同几何测试条件观测的光谱数据所建模型的传递效果较差.该研究以江汉平原公安县的36个土壤样本为研究载体,通过在室内...

Soil hyperspectral remote sensing has become an important research area of proximal soil sensing,which is considered to be a fast,non-destructive and low-cost method for effectively analyzing the soil key parameters.Several studies have proposed that the environmental factors,such as soil moisture and surface attributes,are more stable to be controlled in the laboratory than that in the field,data collected in the laboratory environment are more stable and repeatable,making it widely approved by researchers.However,the data sharing based on lab...