高光谱遥感大气校正和光谱重建技术是高光谱遥感应用的关键技术和必要前提。
Atmospheric correction and spectral reconstruction of hyperspectral remote sensing applications is the key technology and necessary prerequisite.
目前大气辐射校正方法的局限性已经严重影响了定量遥感科学进展。
Nowaday the limitation of the method of atmospheric and radiometric correction had been strictly effecting the development of RS science.
在经大气校正后，可见光波段卫星遥感数据的水体象元主要受水中污染物、泥沙及叶绿素等的影响。
After atmospheric correcting, water pixels of satellite remote sensing data of optic spectrum are mainly influenced by pollutants, soil and sand, and chlorophyll in the water.
卫星遥感数据的大气校正， 一直是遥感定量化研究的主要课题之一。
The atmospheric correction of remote sensing data is one of the main topics of quantitative remote sensing research.
第四章根据反演得到的气溶胶光学厚度和大气水汽含量，利用辐射传输模型计算大气校正参数的方法来对遥感图像进行大气校正。
The forth one gives a method to correct the atmospheric effects by taking the AOD and water vapor content inversion results into the atmospheric radiation transferring model.
本文主要对试验区遥感影像进行了辐射校正、大气校正、几何校正和数据融合等处理。
In this paper, the main work of author are below as follows: radiation correction, atmospheric correction, geometric correction and data processing integration.
士壤和大气对LAI - VI的关系有显著的影响。对遥感数据进行大气校正可以显著地提高LAI - VI之间的相关性。
However, Atmospheric correction on the data of the remotely sensed imagery can effectively improve the LAI-VI correlation and SAVI can partly remove the influence of soil on the relationship.
士壤和大气对LAI - VI的关系有显著的影响。对遥感数据进行大气校正可以显著地提高LAI - VI之间的相关性。
However, Atmospheric correction on the data of the remotely sensed imagery can effectively improve the LAI-VI correlation and SAVI can partly remove the influence of soil on the relationship.
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