摘要
地物光谱特性是遥感应用的基础,目前多为对地物的可见光-近红外反射率光谱的研究,关于地物热红外发射率光谱的研究并未全面展开。使用便携式傅里叶变换红外光谱仪对新疆吉木萨尔县水西沟煤田火区样品进行光谱采集。选取典型地物,采用PercentileFilter方法进行光谱平滑去噪,以及光谱平滑迭代算法进行样品温度和发射率的分离,得出地物发射率的光谱曲线,分析得出自然环境下煤田火区典型地物表面温度和对应的发射率值,以及样品低发射率谷的敏感波段。通过得出自然环境下地物准确地发射率值将有效的提高遥感影像反演地表温度的精度,为更加准确地提取煤田火区的温度异常信息奠定一定基础;而通过对地物热红外发射率光谱特征的分析,将为热红外遥感影像提取和识别地物类型奠定一定基础。
The spectral characteristics of surface features is the basis for remote sensing application, mostly on the surface features of visible- near infrared reflectance spectroscopy, study of surface features on the thermal infrared emissivity spectra hasn＇ t developed in a comprehensive way. Using a portable Fourier transform infrared spectrometer, spectrum was collected in Shuixigou coal fire area, Jimsar County, Xinjiang. Se- lecting the typical surface, using Percentile Filter method for spectral smoothing and spectral smoothing iterative algorithm for sample temperature and emissivity separation, derived features in the spectral emissivity curve; analysis obtained under the natural environment typical coal fire area surface temperature and surface features corresponding emissivity values, and samples with low emissivity Valley sensitive band. Derived features in the natural environment through accurate emissivity values will effectively improve the remote sensing image retrieval accuracy of surface tem- perature for more accurate extraction of coal fire area of the temperature anomaly information to lay a foundation ; through thermal infrared emis- sivity of the surface features spectral analysis will lay a foundation for the extraction of thermal infrared remote sensing image and cognition of fea- ture type.
出处
《安徽农业科学》
CAS
2013年第14期6561-6564,共4页
Journal of Anhui Agricultural Sciences
基金
新疆自然科学基金项目(200821128)
关键词
煤
比辐射率
发射光谱
光谱特征
Coal
Emissivity
Emission spectra
Spectral features
