首页> 外文会议>Conference on land surface and cryosphere remote sensing III >Polarimetric SAR Interferometry based decomposition modelling for reliable scattering retrieval
【24h】

Polarimetric SAR Interferometry based decomposition modelling for reliable scattering retrieval

机译:基于Polarimetric SAR干涉测量法的可靠散射检索的分解建模

获取原文

摘要

Fully Polarimetric SAR (PolSAR) data is used for scattering information retrieval from single SAR resolution cell. Single SAR resolution cell may contain contribution from more than one scattering objects. Hence, single or dual polarized data does not provide all the possible scattering information. So, to overcome this problem fully Polarimetric data is used. It was observed in previous study that fully Polarimetric data of different dates provide different scattering values for same object and coefficient of determination obtained from linear regression between volume scattering and aboveground biomass (AGB) shows different values for the SAR dataset of different dates. Scattering values are important input elements for modelling of forest aboveground biomass. In this research work an approach is proposed to get reliable scattering from interferometric pair of fully Polarimetric RADARSAT-2 data. The field survey for data collection was carried out for Barkot forest during November 10th to December 5th, 2014. Stratified random sampling was used to collect field data for circumference at breast height (CBH) and tree height measurement. Field-measured AGB was compared with the volume scattering elements obtained from decomposition modelling of individual PolSAR images and PolInSAR coherency matrix. Yamaguchi 4-component decomposition was implemented to retrieve scattering elements from SAR data. PolInSAR based decomposition was the great challenge in this work and it was implemented with certain assumptions to create Hermitian coherency matrix with co-registered polarimetric interferometric pair of SAR data. Regression analysis between field-measured AGB and volume scattering element obtained from PolInSAR data showed highest (0.589) coefficient of determination. The same regression with volume scattering elements of individual SAR images showed 0.49 and 0.50 coefficients of determination for master and slave images respectively. This study recommends use of interferometric PolSAR data for reliable scattering retrieval.
机译:完全偏振的SAR(POLSAR)数据用于从单个SAR分辨率小区散射信息检索。单个SAR分辨率单元可以包含来自多个散射物体的贡献。因此,单个或双极化数据不提供所有可能的散射信息。因此,要克服此问题,使用完全偏振数据。在先前的研究中观察到,不同日期的完全偏振数据为来自体积散射和地上生物量(AGB)之间的线性回归而获得的不同散射值,并且从地上生物量(AGB)的线性回归显示了不同日期的SAR数据集的不同值。散射值是用于地上生物质森林建模的重要输入元素。在本研究中,提出了一种方法,可以从干涉量对完全偏振的雷达拉特-2数据获得可靠的散射。 2014年11月10日至12月5日的Barkot Forest对数据收集进行了现场调查。分层随机采样用于收集乳房高度(CBH)和树高度测量周长的现场数据。将场测量的AGB与从单个POLSAR图像和POVINSAR一致性矩阵的分解建模获得的体积散射元件进行比较。 yamaguchi 4组件分解用于从SAR数据中检索散射元素。基于PolinSar的分解是这项工作中的巨大挑战,并以某些假设实施,以创建具有共同登记的偏振干涉对SAR数据的密封激发矩阵。从POLINSAR数据获得的现场测量的AGB和体积散射元件之间的回归分析显示出最高(0.589)的测定系数。与各个SAR图像的体积散射元件的相同回归分别显示了母和从图像的确定的0.49和0.50系数。本研究建议使用干涉多体波斯马尔数据来获得可靠的散射检索。

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