摘要
针对传统波形重跟踪方法无法准确跟踪复杂海冰波形的问题,构建了一种新型的海冰波形重跟踪算法NPPR-Bézar。该方法首先利用狭窄主波峰重跟踪算法自适应识别海冰波形的主波峰,然后利用三阶贝塞尔曲线拟合主波峰波形,最后以主波峰峰值的50%作为重跟踪点。以2013年和2015年两日的Cryosat-2高度计数据作为实验数据,同期机载OIB数据作为验证数据,将该算法计算得到的海冰干舷高度与几种传统重跟踪算法进行对比。结果表明,该方法相较于传统的TR阈值法、TFMRA、CS L2干舷值产品,两日平均RMSE分别降低了51.6、30.3、13.9个百分点。该算法具有计算简单、精度高、异常值少等特点,面对复杂海冰波形和噪声具有一定的稳定性。
In response to the problem that traditional waveform resampling methods cannot accurately track complex sea ice waveforms,this paper constructs a novel sea ice waveform resampling algorithm,NPPR-Bézar.The method first uses a narrow main peak resampling algorithm to adaptively identify the main peak of the sea ice waveform,then uses a third-order Bézar curve to fit the waveform of the main peak,and finally takes the peak value of the main peak at 50%as the resampling point.The Cryosat-2 altimeter data from 2013 and 2015 is used as the experimental data,and the onboard OIB data from the same period is used as the validation data.The sea ice freeboard height calculated by the proposed algorithm is compared with that of several traditional resampling algorithms.The results show that the proposed method,compared with the traditional TR threshold method,TFMRA,and CS L2 freeboard value products,has an average RMSE reduction of 51.6%,30.3%,and 13.9%,respectively.The algorithm has the characteristics of simple calculation,high accuracy,and fewer outliers.It has certain stability in dealing with complex sea ice waveforms and noises.
作者
赵相禹
王志勇
孟庆颖
吴斌
刘顺伟
ZHAO Xiangyu;WANG Zhiyong;MENG Qingying;WU Bin;LIU Shunwei(College of Geodesy and Geomatics,Shandong University of Science and Technology,Qingdao,Shandong 266590,China;Qingdao Hisense TransTech Co.Ltd.,Qingdao,Shandong 266590,China;Zhongke Academy of Satellite Application in Deqing,Huzhou,Zhejiang 313200,China)
出处
《遥感信息》
北大核心
2025年第2期96-103,共8页
Remote Sensing Information
基金
国家自然科学基金(41876202)。
