1) biomass inversion
生物量反演
1.
The inversion result shows that ENVISAT ASAR alternative polarizition data can be used for biomass inversion of wetland vegetation;ANN method can also efficiently express the complex non-linear relationship be- tween the biomass and backscatter coefficient so as to improve the inversion accuracy;the errors mainly come from the filed measurements,image registration,and the inversion process.
本文利用ENVISAT ASAR交替极化(HH,VV)数据对鄱阳湖湿地地区的湿生植被进行生物量反演研究,并在密歇根微波冠层散射(MIMICS)模型模拟分析的基础上利用人工神经网络(ANN)方法来反演生物量。
2) Geophysics Reversion with Geodetic Data
地球物理-大地测量反演
3) Geodesy and geophysics inversion
大地测量地球物理反演
4) quantitative retrieval
定量反演
1.
Remote sensing quantitative retrieval of soil water content in desertification region;
荒漠化地区土壤含水量的遥感定量反演
2.
The result show that MODIS image data is preferably useful in quantitative retrieval model of chlorophyll-a concentration in Taihu Lake.
结果表明,利用MODIS数据可以较好地实现对太湖水域叶绿素a浓度的定量反演计算,并以MODIS数据第3、第17波段的反射率组合作为遥感指数建立了反演叶绿素a浓度的模型。
5) quantitative inversion
定量反演
1.
According to the model of fuel moisture content, ETM and ASTER remote sensing data, the quantitative inversion are achieved by the programme based on IDL7.
0开发平台下实现研究区植被含水量的定量反演,并利用区内实测数据和本底调查数据对反演结果进行了综合评价与分析。
6) quantum reverse
量子反演
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