According to the characteristic of surface microseismic date acquisition method,combining the features of curvelet transform, we introduced a new adaptive threshold denoising method based on curvelet transform. Firstly, we carry out curvelet transform on the surface microseismic data to obtain curvelet coefficients in different scale and directions. Secondly, adaptive threshold value can be determined by calculating curvelet coefficient statistics, curvelet coefficients are processed by compromising the soft & hard threshold value. Finally we inversely transform the processed curvelet coefficients and get the denoising signal. The processing results on theoretical and actual data proved the correction of the method.%针对地面微地震资料采集方式及其信号特点,并结合曲波变换的特点及阈值去噪原理,研究了一种基于曲波变换的自适应阈值去噪方法.首先将地面微地震资料进行曲波变换,得到不同尺度、不同方向的曲波系数；然后通过计算曲波系数统计量的方法来确定自适应阈值,采用软、硬阈值折衷方法对曲波系数进行处理；最后将处理后的曲波系数进行反变换得到去噪后的信号.理论模型和实际资料的处理结果验证了该方法的有效性.
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