ID 原文 译文
17065 仿真实验表明，与单观测向量波束形成2维方位估计方法相比，所提方法在2维方位估计问题中具有更高的分辨能力，均方根误差更低； Simulation results show that the proposed method has better resolution and lower RMSE performance in 2DDOA estimation problem compared with the Single Measured Vector Beamforming method.
17066 水池实验进一步验证了该文所提方法的工程实用性。 The tank experiment further verifies the engineering practicability of the proposed method.
17067 冬小麦是我国重要粮食作物之一，对冬小麦覆盖地表土壤水分进行监测有助于解决因土壤供水导致的冬小麦歉收和农业用水浪费等问题。 Winter wheat is one of the most important food crops in China. Monitoring the soil moisture overwinter wheat covered surface can help to solve the problem of poor harvest of winter wheat and waste ofagricultural water due to soil water supply.
17068 为了降低冬小麦覆盖地表土壤水分微波遥感反演过程中冬小麦对雷达后向散射系数的影响，该文基于Sentinel-1携带的合成孔径雷达(SAR)数据和Sentinel-2携带的多光谱成像仪(MSI)数据，结合水云模型，开展冬小麦覆盖地表土壤水分协同反演研究。 In order to reduce the influence of winter wheat on radarbackscattering coefficient in the process of microwave remote sensing retrieval of soil moisture covered bywinter wheat, based on the Synthetic Aperture Radar (SAR) data carried by Sentinel-1 and the MultiSpectralImager (MSI) data carried by Sentinel-2, combined with the water cloud model, the collaborative inversion ofsoil moisture over winter wheat mulching surface is carried out.
17069 首先，基于MSI数据，该文定义了一种新的植被指数，即融合植被指数(FVI)，用于冬小麦含水量反演； Firstly, based on the MSI data from Sentinel-2,a new vegetation index called Fusion Vegetation Index (FVI) is defined for inversion of winter wheat moisture.
17070 然后，该文发展了一种基于主被动遥感数据的冬小麦覆盖地表土壤水分反演半经验模型，校正冬小麦在土壤水分反演过程中对雷达后向散射系数的影响； Secondly, a semi-empirical soil moisture inversion model based on active and passive remote sensing data isdeveloped to correct the influence of winter wheat on radar backscatter coefficient.
17071 最后，以河南省某地冬小麦农田为研究区域，开展归一化水体指数(NDWI)和FVI两种指数与VV, VH, VV/VH 3种极化组合而成的6种反演方式下的土壤水分反演对比实验。 Finally, by taking a winter wheat field in Henan Province as the study area, the comparative experiments of soil moisture inversionare carried out under six combinations, which are composed of two vegetation indexes, Normalized DifferenceWater Index (NDWI) and FVI respectively, and three types of polarization data, VV, VH and VV/VHrespectively.
17072 结果表明：以FVI为植被指数，能够更好地去除冬小麦在土壤水分反演过程中对雷达后向散射系数的影响； Through the experimental results, FVI shows a better performance than NDWI in reducing theinfluence of winter wheat on radar backscatter coefficient.
17073 6种反演方式中，FVI与VV/VH组合下的反演效果最优，其决定系数为0.7642，均方根误差为0.0209 cm3/cm3，平均绝对误差为0.0174 cm3/cm3，展示了该文所提土壤水分反演模型的研究价值和应用潜力。 Meanwhile, among the six inversion combinations,the one of FVI and VV/VH achieves the optimal inversion precision, with a determination coefficient of 0.7642,a Root Mean Square Error of 0.0209 cm3/cm3, and a Mean Absolute Error of 0.0174 cm3/cm3, demonstratingthe application potential of the soil inversion model developed in this paper.
17074 为了解决现有多子阵合成孔径声呐(SAS)成像算法忽略了“非停走停”时间的孔径依赖性带来时延误差的问题，该文提出一种基于参考距离史的多子阵SAS成像算法。 To address the problem that the aperture-dependence of ‘non-hop-go-hop’ time in the existingimaging algorithm for the multiple receivers Synthetic Aperture Sonar(SAS) is ignored and brings the delayerror, a imaging algorithm based on the reference range history is proposed in the paper.