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为有效进行冰盖冻融探测,在微波辐射计简单冰盖冻融物理模型和小波变换理论的基础上,提出了物理模型结合小波变换进行南极冰盖冻融探测的新算法,即运用小波变换对物理模型得到的长时间序列数据进行处理,提取剧烈变化的边缘信息,并滤除部分噪声,以其变化最大的边缘事件作为冻融发生的事件,进而得到南极冰盖的融化开始、持续和结束时间分布图.结果表明:这种算法不但解决了物理模型算法需依赖实际融化信息才能进行冰盖冻融探测的问题,而且能自动选择较多的样本,提高了冰盖冻融探测的计算效率、实用性和可操作性,还在一定程度上提高了冰盖冻融探测的精度.
In order to effectively detect the freezing and thawing of the ice sheet, a new algorithm based on the simple ice sheet freezing and thawing physical model and the wavelet transform theory of the microwave radiometer is put forward. The new algorithm, which uses the wavelet transform The long time series data obtained from the physical model are processed to extract the sharply changed edge information and to filter out part of the noise. The most varied edge event is taken as the event of freezing and thawing, and then the Antarctic ice sheet begins to melt and continues The results show that this algorithm not only solves the problem that the physical model algorithm relies on the actual melting information to detect the ice sheet, but also can automatically select more samples to improve the calculation of ice sheet freezing and thawing detection Efficiency, practicality and operability, but also to a certain extent, improve the accuracy of ice sheet freeze-thaw detection.