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机构地区:[1]海军工程大学电力电子技术研究所,湖北武汉430033 [2]华中科技大学电子与信息工程系,湖北武汉430074
出 处:《遥感技术与应用》2013年第3期481-487,共7页Remote Sensing Technology and Application
基 金:国家自然科学基金项目"盐度遥感综合孔径微波辐射计干涉测量理论与方法研究"(40906089);国家自然科学基金项目"基于压缩传感理论的数字无参考辐射干扰对消方法研究"(61201055);国家自然科学基金项目"****装置分段供电的切换策略研究"(51077129)
摘 要:现有灵敏度指标在描述经过复杂校正之后的综合孔径辐射计的性能时存在困难。考虑到反演亮温分布与可见度采样的线性关系,提出了一种可见度采样测量不确定度估计方法来衡量综合孔径辐射计性能。首先,根据校正流程建立校正参数与可见度采样之间的数学模型;然后,分别对各校正参数的测量不确定度进行估计;最后,基于上述两项工作估计可见度采样的合成测量不确定度。对于综合孔径辐射计校正,有利于选择合理的校正参数并优化校正流程。The use of sensitivity has limited application in evaluating the performance of the Aperture Synthesis Radiometers (ASRs) with complicated calibrations. These limitations are overcome by instead of the measurement uncertainty. Considering the linear mapping between the reconstructed brightness tempera- ture distribution and the visibility samples,a measurement uncertainty estimation approach to the visibility samples is introduced to characterize the performance of the ASRs. Firstly, the mathematic model of the visibility sample and the calibration parameters is established by the calibration procedures. Then, the measure uncertainty of each calibration parameter is estimated. Finally, the combined measurement uncer- tainty of the visibility sample is estimated based on the mathematic model and the measure uncertainty of each calibration parameter. For ASRs calibration,the measurement uncertainty estimation approach of the visibility sample could be used to choose the reasonable calibration parameters and optimize the calibration procedures.
分 类 号:TP722.6[自动化与计算机技术—检测技术与自动化装置]
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