摘要
提出了一种基于光谱混合的大气强吸收通道地表发射率图像模拟方法,旨在为全链路图像模拟提供地表基础数据。首先,对数据源图像进行端元选择,获取图像端元光谱;然后,通过光谱匹配将地表测量光谱替代图像端元光谱进行丰度反演;最后,基于线性光谱混合模型,结合替代端元在吸收通道的地表测量发射率,实现发射率图像模拟。利用该方法,以Landsat 8 OLI多光谱图像为数据源,并假设JHU和USGS光谱库数据为数据源的地表测量光谱,进行了模拟试验和精度分析。鉴于真实的吸收通道地表发射率图像无法获得,精度分析采用了比较基于该方法模拟的OLI通道反射率图像与真实反射率图像的方式。获得的模拟图像总体均方根误差分别为0.045和0.049,说明模拟方法可行且具有较高的精度。
A simulation method based on spectral mixing is proposed for surface emissivity image generation in atmospheric absorption bands,in order to provide surface input data for the corresponding end-to-end image simulation.First,endmember selection is conducted on data source to acquire image endmember spectra.Then,substitute endmembers are selected from surface-measured spectra by spectral matching with image endmembers,and used for abundance inversion.Finally,using emissivity spectra of substitute endmember in the absorption bands and abundance maps,emissivity images are simulated based on linear spectral mixing model.In the simulation experiment,Landsat8 OLI images were used as data source,and JHU and USGS spectral library data were assumed to be ground spectra of the test case.Since actual emissivity images in absorption bands are unavailable,accuracy analysis is conducted by comparing OLI reflectance images with its simulations generated by the proposed method.Total RSMEs of simulated OLI images are 0.045 and 0.049,respectively;which shows the image simulation method is feasible and can produce images with high accuracy.
出处
《遥感技术与应用》
CSCD
北大核心
2017年第4期674-682,共9页
Remote Sensing Technology and Application
基金
国家杰出青年科学基金项目(41325004)
国家科技高分辨率对地观测系统重大专项(30-Y20A06-9003-15/16
11-Y20A32-9001-15/17)
国家自然科学基金项目(41271370)
关键词
光谱混合
大气吸收
地表发射率
图像模拟
Spectral mixing
Atmospheric absorption
Surface emissivity
Image simulation
作者简介
刘瑶（1988-），女，湖北蕲春人，工程师，主要从事遥感图像仿真模拟研究。Email：yao．liu_agrs@foxmail．com。
通讯作者：张文娟（1983-），女，安徽潜山人，高级工程师，主要从事地表辐射传输建模和卫星图像模拟等方面的研究。Email：zhangwj@radi．ac．cn。
