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首页> 外文期刊>Journal of the Indian Society of Remote Sensing >Evaluation of RISAT-1 SAR Radiometric Calibration Using Extended Amazon Rainforest
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Evaluation of RISAT-1 SAR Radiometric Calibration Using Extended Amazon Rainforest

机译:使用扩展亚马逊雨林评估Risat-1 SAR辐射验证的评估

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The single-frequency Radar Imaging Satellite-1 (RISAT-1) Synthetic Aperture Radar (SAR) (launched in April, 2012) is designed to provide a wide variety of imaging options compared to the prevailing SAR missions. The scale of the calibration task for the RISAT-1 mission is increased with the inclusion of multiple beams and polarizations (single, dual and quad) along with circular/hybrid polarization capabilities, for the first time from space. Significant efforts have been made in the evolution of SAR processor for the provision of radiometrically and geometrically calibrated products to the users. After the commissioning phase, RISAT-1 was put into routine operations in Oct. 2012. Since then extensive beam coverage of Amazon rainforest in various modes was carried out to evaluate the calibration parameters and SAR processor performance. Subsequently, the processor version 1.2.0 was improved to version 1.3.0 and with further modifications to version 1.4.0. This article details the analysis carried out at each processor version, by quality evaluation team, to quantify the parameter behaviour and to give feedback on the processor performance to the SAR processor team. The various radiometric quality parameters evaluated and monitored are shape of the antenna pattern, gamma-naught, backscattering coefficient (sigma-naught), speckle index, radiometric resolution and Noise Equivalent Sigma Zero (NESZ). Data studied for the analysis is in Single Look Complex (SLC) for stripmap mode and multilook (Ground range) for ScanSAR and stripmap mode in dual and circular polarizations. The performance of version 1.4.0 for all the beams (near-to-far) is found to be consistent and meeting the mission specifications for the product.
机译:单频雷达成像卫星-1(Risat-1)合成孔径雷达(SAR)(2012年4月推出)旨在提供各种成像选项,与现行的SAR任务相比。第一次从空间中包含多个光束和偏振(单个,双和四分之一),增加了RISAT-1任务的校准任务的规模增加了多个光束和偏振(单,双和偏振能力。在SAR处理器的演变中,为用户提供了辐射和几何校准产品,已经取得了重大努力。在调试阶段之后,2012年10月的Risat-1被投入常规操作。从那时起,亚马逊雨林以各种模式的广泛汇率覆盖率进行了广泛的覆盖,以评估校准参数和SAR处理器性能。随后,处理器版本1.2.0改进到版本1.3.0,并进一步修改1.4.0。本文详细介绍了在每个处理器版本,质量评估团队中进行的分析,以量化参数行为,并为SAR处理器团队提供有关处理器性能的反馈。评估和监测的各种辐射质量参数是天线图案的形状,伽马轨道,反向散射系数(Sigma-naught),散斑索引,辐射分辨率和噪声等效Sigma零(NESZ)。用于分析研究的数据是单眼复杂(SLC),用于TILLMAP模式和用于SCANSAR和TILLMAP模式的Multilook(接地范围),在双和圆极化中。所有光束(近距离)的版本1.4.0的性能被发现是一致的,并满足产品的任务规范。

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