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在微波散射计的简单冰盖融化物理模型的基础上,提出了不依赖于实地观测数据的自动阈值分割的南极冰盖冻融探测的新算法,即利用广义高斯模型对通过微波散射计简单冰盖融化物理模型变换得到的数据做直方图统计,得到干湿雪划分的最优阈值,从而得到干湿雪的冻融分布图.这种算法不但解决了物理模型算法需依赖实测冰盖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.算法也能被应用到其他地区,为全球的冰盖冻融探测提供了方法学的支持和补充.
Based on the simple physical model of icecap melting, a new algorithm of freezing and thawing the Antarctic ice sheet based on automatic threshold segmentation, which does not depend on the field observation data, is proposed. By using generalized Gaussian model, Cover the melting of the physical model transformation data obtained histogram statistics, get the optimal wet-dry snow threshold, and get freeze-thaw distribution of wet and dry snow.This algorithm not only solved the physical model algorithm depends on the measured ice sheet melting information And can automatically select more samples to improve the computational efficiency, practicability and maneuverability of the ice sheet freezing and thawing detection.The algorithm can also be applied to other regions, and the global ice Cover freeze-thaw detection provides methodological support and complement.