首页> 外文会议>National symposium on remote sensing technologies >Modeling Simulation and Inversion for Microwave Active and Passive Remote Sensing of the Lunar Surface
【24h】

Modeling Simulation and Inversion for Microwave Active and Passive Remote Sensing of the Lunar Surface

机译:用于月球表面微波炉活跃和被动遥感的模拟仿真与反演

获取原文

摘要

Theoretical modeling and inversion approach of both active and passive microwave remote sensing for lunar surface exploration are presented herewith, as a report of recent reaserch progress Refs. [1-6] in our laboratory. Using a layered media model, multi-channel brightness temperatures of lunar regolith media are numerically simulated and applied to inversion of lunar regolith layer thickness, which is one of the tasks of China's first Chang-E project. Using the inverted regolith layer thickness, the models of solar wind flux, optical maturity (OMAT) and TiO_2 content in regolith layer with Clementine UWIS multispectral data are employed to evaluation of global ~3He abundance. To explore the potential utilities of lower frequency radar pulse for lunar exploration, a theoretical model of lunar regolith layer and Mueller matrix solution of pulse radiative transfer are developed to numerical simulation of radar pulse echoes. To numerically simulate the image of lunar surface in SAR (synthetic aperture radar) technology, the triangulated irregular network is utilized to divide the undulated surface into discrete triangle meshes as a digital surface topography, and the SAR image of inhomogeneously undulated lunar surface is generated.
机译:作为最近的重新研究进展参考的报道,介绍了月球表面勘探的主动和被动微波遥感的理论建模和反演方法。 [1-6]我们的实验室。使用分层介质模型,数值模拟了月球极端介质的多通道亮度温度,并应用于月球石油石材层厚度的反转,这是中国第一个CHANG-E项目的任务之一。使用倒置的石油石层厚度,太阳能通量,光学成熟度(OMAT)和TiO_2含量的型号,具有克莱默轮辋层,具有克莱默轮毂UWIS多光谱数据,用于评估全局〜3HE丰度。为了探讨月球勘探的较低频率雷达脉冲的潜在公用事业,开发了脉冲辐射转移的月球石概层和穆勒矩阵解的理论模型,以雷达脉冲回波的数值模拟。为了在SAR(合成孔径雷达)技术中进行数值模拟月球表面的图像,利用三角形的不规则网络将波状表面分成离散的三角形网格作为数字表面形貌,并且产生了不均匀波状的月球表面的SAR图像。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号