...
首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Estimation of RVoG Scene Parameters by Means of PolInSAR With TanDEM-X Data: Effect of the Double-Bounce Contribution
【24h】

Estimation of RVoG Scene Parameters by Means of PolInSAR With TanDEM-X Data: Effect of the Double-Bounce Contribution

机译:通过POLINSAR估计RVOG场景参数,TANDEM-X数据:双弹跳贡献的效果

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This article evaluates the effect of the double-bounce (DB) decorrelation term that appears in single-pass bistatic acquisitions, as in the TanDEM-X system, on the inversion of scene parameters by means of polarimetric SAR interferometry (PolInSAR). The retrieval of all scene parameters involved in the Random Volume over Ground (RVoG) model (i.e., ground topography, vegetation height, extinction, and ground-to-volume ratios) is affected by this term when the radar response from the ground is dominated by the DB. The estimation error in all these parameters is analyzed by means of simulations over a wide range of system configurations and scene variables for both agricultural crops and forest scenarios. Simulations demonstrate that the inclusion of the DB term, which complicates the inversion algorithm, is necessary for the angles of incidence shallower than 30 to achieve an estimation error below 10 in vegetation height and to avoid a significant underestimation in the ground-to-volume ratios. At steep incidences, this decorrelation term does not affect the estimation of vegetation height and ground-to-volume ratios. Regarding the extinction, this parameter is intrinsically not well estimated, since most retrieved values are close to the initial guesses employed for the optimization algorithm, regardless of the use or not of the DB decorrelation term. Finally, these findings are compared with the experimental results from the TanDEM-X data acquired over the rice fields in Spain for the available system parameters (baseline and incidence angle) of the acquired data set.
机译:本文评估了单通式自发性采集中出现的双反冲(DB)去相关项的效果,如串联X系统,通过Polarimetric SAR干涉测量法(POLINSAR)在场景参数的反转。当从地面的雷达响应占主导地位时,在地面(Rvog)模型中涉及的随机体积(即,地形地形,植被高度,灭绝和地对体积比)的所有场景参数的检索受到该术语的影响由DB。通过模拟在农业作物和森林情景的各种系统配置和场景变量上通过模拟来分析所有这些参数中的估计误差。模拟表明,包含复位算法的DB项是在植被高度下达到10的估计误差,并且在植被高度中达到10以下10的估计误差是必要的,以避免在地下体积比下显着低估。在陡峭的血液中,这种去相关项不会影响植被高度和地下体积比的估计。关于灭绝,该参数本质上不是很好地估计,因为大多数检索值都接近用于优化算法的初始猜测,而不管使用DB去相关项的使用。最后,将这些发现与由所获取的数据集的可用系统参数(基线和入射角)的Spain中获取的Tandem-x数据进行比较。

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