1) Optimal polarimetric interferometry
最优极化干涉
2) Polarimetric Interferometric Phase Coherence Optimization (PIPCO)
极化干涉相位相干最优
3) polarimetric interferometry
极化干涉
1.
Investigation on coregistration of polarimetric interferometry data with Cameron decomposition
利用Cameron分解进行极化干涉图像对的配准研究
2.
Cloude s polarimetric interferometry model was combined with the ESPRIT algorithm to reduce the calculation cost of forest parameter extraction.
将Cloude极化干涉散射模型和ESPRIT算法结合来降低森林参数反演的运算量。
4) PolInSAR
极化干涉
1.
Vegetation height and vertical structural profile constitute the critical parameters for the forest biomass and carbon cycle model,and the polarimetric SAR Interferometry(PolInSAR) technique makes quantitative vegetation structural parameter inversion possible.
植被的高度和垂直结构剖面都是森林生物量和森林碳循环模型中的关键输入参数,极化干涉SAR的出现使定量获取植被结构参数成为可能。
2.
Polarimetric interferometric SAR(PolInSAR) is a new advanced technique recently based on measurement techniques of polarimetric SAR and interferometric SAR,and making use of PolInSAR data for retrieving the vertical structure parameters of the vegetation layer becomes the hot research topic of the PolInSAR at present.
极化干涉合成孔径雷达(PolInSAR)测量是一种集极化雷达(PolSAR)和干涉雷达(InSAR)测量技术于一体的新的对地观测技术,利用极化干涉雷达数据提取地表植被垂直结构参数是当前极化干涉研究的热点问题。
5) polarimetric SAR interferometry
极化干涉SAR
1.
The Current Status and Implications of Polarimetric SAR Interferometry;
极化干涉SAR的研究现状与启示
2.
Polarimetric SAR interferometry (POL-INSAR), which combines SAR polarimetry with SAR interferometry, has become a very important direction of SAR application development.
极化干涉SAR(Pol-InSAR)是以干涉SAR和极化SAR测量技术为基础发展起米的一项新的前沿技术，住地形测绘、微地形变化检测、植被生物量估计等众多领域有着重要应用。
6) PolInSAR
极化干涉SAR
1.
Polarimetric interferometric SAR(PolInSAR) is a new type remote sensing technique,and making use of it for retrieving the vegetation parameters becomes a hot research topic at present.
极化干涉SAR(PolInSAR)是一种新型遥感技术,将其应用于植被参数反演己成为当前研究的热点。
2.
Basic theory of polarimetric synthetic aperture radar(SAR) interferometry is expatiated and the PolInSAR vegetation scattering model and Cloude three-stage vegetation height inversion algorithm are analyzed.
阐述了极化干涉SAR成像技术的基本理论,分析了极化干涉SAR的植被散射模型和Cloude三阶段植被高度反演算法。
补充资料：相干散射和非相干散射
再辐射的光量子频率和被吸收的光量子频率准确相等的散射过程称为相干散射。在相干散射的情况下，源函数准确地等于平均辐射强度。再辐射的光量子频率和被吸收的光量子频率不相等的散射过程称为非相干散射。在天体物理中，存在一系列因素使散射过程成为非相干散射。主要的因素是：原子的能级有一定的宽度、原子的热运动和湍动以及压力效应等。对于非相干散射，源函数是相当复杂的。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条