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最优相干
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  optimized coherence
     At last, based on the data correlation analysis of optimized coherence coefficient, backscattering coefficient and polarimetric entropy, making use of optimized coherence, polarimetric entropy and backscattering coefficient data, Identification and classification of land cover is implemented and evaluated. The good result is obtained.
     最后,在对最优相干系数、后向散射系数和熵进行数据相关性分析基础上,利用得到的最优相干系数、熵和后向散射系数数据进行了土地类型的识别和分类,得到了很好的效果。
短句来源
  “最优相干”译为未确定词的双语例句
     Registration of Pol-InSAR Images Combined withCoherence Optimization
     一种结合最优相干运算的极化干涉SAR相干配准方法
短句来源
     Basic theories of the polarimetric SAR measurement were studied and the models of polarimetric SAR measurement were analyzed. Based on all of above, the theories of polarimetric SAR interferometry were studied.
     在干涉SAR和极化SAR研究的基础上,深入研究了极化干涉SAR测量算法。 较详细地分析了极化干涉SAR测量理论模型、算法流程以及实现中的关键环节,并针对散射中心高度差去相关对全极化图像配准的影响问题,对原有算法进行了改进,提出了结合最优相干算法的极化干涉SAR图像配准方法。
短句来源
     2) selecting the best coherent time window from the common-receiver-point stack profile for the coherent computation and calculating the statics;
     ②在共接收点叠加剖面上选择一个最优相干时窗进行相干运算,求取静校正量;
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  相似匹配句对
     Optimum beamforming for coherent signals
     存在相干信号时的最优波束形成
短句来源
     A Robust Optimum Beamforming Algorithm for Coherent Signals
     一种存在相干信号时的稳健的最优波束形成算法
短句来源
     Optimal Design of Electric Transmission Network Planning
     输电网最优设计
短句来源
     Linear Optimal Control System
     线性最优控制系统
短句来源
     The Coherent Effect of Bioohotons
     生物光子的相干效应
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The optimal estimate method is presented in detail for estimating the position and velocity vectors of a short range target in space with a multisensor system TR n (one transmitting sensor and n receiving sensors), and the relation between the coherent centralizing processing and decentralizing processing is discussed. After analyzing the performance of decentralization processing, the Cramer Rao lower bound (CRLB) for the estimator is given. Finally, some computational results for a special case are obtained....

The optimal estimate method is presented in detail for estimating the position and velocity vectors of a short range target in space with a multisensor system TR n (one transmitting sensor and n receiving sensors), and the relation between the coherent centralizing processing and decentralizing processing is discussed. After analyzing the performance of decentralization processing, the Cramer Rao lower bound (CRLB) for the estimator is given. Finally, some computational results for a special case are obtained. The results demonstrate that the system can locate a target with high accuracy.

详细分析了多传感器系统TRn(T表示一个发射传感器 ,Rn 表示n个接收传感器 )对空中近程目标位置和速度矢量进行测量的最优估计方法 .讨论了最优相干中心化处理与分散化处理的关系 ,对分散化处理的性能进行了分析 ,并给出了其误差的克拉美—罗下界 (CRLB) .最后对一特例进行了数值计算 ,结果表明该系统具有较高的定位精度 .

Based on the SIR-C L-band fully polarimetric SAR data of hotan area of Xinjiang Province,on October 9 and 10, in 1994,first,the basic principles of polarimetric SAR interferometiy measurement and data processing scheme are de-tailedly discussed. Then, three optimized coherence map related to three scattering mechanism are obtained by Cloude optimization algorithm. Furthermore, the strong dependency of interferometric coherence on the polarization and the coherence signatures of land cover related to three scattering...

Based on the SIR-C L-band fully polarimetric SAR data of hotan area of Xinjiang Province,on October 9 and 10, in 1994,first,the basic principles of polarimetric SAR interferometiy measurement and data processing scheme are de-tailedly discussed. Then, three optimized coherence map related to three scattering mechanism are obtained by Cloude optimization algorithm. Furthermore, the strong dependency of interferometric coherence on the polarization and the coherence signatures of land cover related to three scattering mechanism are analysied, the inferometric phase corresponding to highest coherence map is useful in DEM extraction, the lowest coherence map is useful in identification of land cover. At last, based on the data correlation analysis of optimized coherence coefficient, backscattering coefficient and polarimetric entropy, making use of optimized coherence, polarimetric entropy and backscattering coefficient data, Identification and classification of land cover is implemented and evaluated. The good result is obtained.

基于新疆和田地区1994年10月9日和10日SIR-C-L波段全极化雷达数据,首先对极化干涉测量的基本原理和数据处理流程进行了详细的阐述,接着,用Cloude相干最优算法得到了与3种地物散射机制相对应的3个最优相干图,并且就地物相干性对极化的强烈依赖和3种散射机制中地物的最优相干特性进行了分析,具有最高相干值的相位图在提取DEM方面较有利,具有最低相干值的相干图在地物识别方面较有利。最后,在对最优相干系数、后向散射系数和熵进行数据相关性分析基础上,利用得到的最优相干系数、熵和后向散射系数数据进行了土地类型的识别和分类,得到了很好的效果。

Polarimetric synthetic aperture radar (SAR) interferometry, which combines SAR polarimetry with SAR interferometry, can improve the measurement precision of interferometric SAR and enhance the ability to explain the scattering mechanisms of targets. So it has become an important direction of SAR application development. In the area coverd by rich vegetations, the confusion of scatting centers induces considerable loss of coherence, which is an important element of interferometry and tightly related with the...

Polarimetric synthetic aperture radar (SAR) interferometry, which combines SAR polarimetry with SAR interferometry, can improve the measurement precision of interferometric SAR and enhance the ability to explain the scattering mechanisms of targets. So it has become an important direction of SAR application development. In the area coverd by rich vegetations, the confusion of scatting centers induces considerable loss of coherence, which is an important element of interferometry and tightly related with the quality of interferometry. To reduce the loss of coherence, polarimetric information was induced in SAR interferometry because of its potential ability of separating scatting centers. Traditional Pol-InSAR flow worked on this problem during the generation of interferometric phase maps. It ignored a question that the loss of coherence can influence the registration as well because the coherence is one of estimate values for registration. As we all know, registration is an important prepositive key step, its quality is crucial for interferometry. All bad factors of registration should be reduced. Considering above, a new method for registration of Pol-InSAR images combined with coherence optimization is brought forward. The coherence optimization can separate scatting centers, it will availably reduced the loss of coherence induced by confusion of scatting centers. An experiment on SIR-C/SLC complex images demonstrates the validity of this method.

针对丰富植被地区散射中心高度差去相关的问题,提出了一种结合最优相干运算的Pol-In-SAR相干配准方法,讨论了Pol-InSAR复图像配准过程中需要考虑的几个关键问题,并以天山地区SIR-C/SLC复图像的配准结果证明了方法的有效性。

 
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