从重力场识别与提取地壳变形带信息的方法研究

表面形貌识别是指用具体的参数表征表面各区段几何形态及属性并最终对不同类型的表面形貌进行识别，表面刻痕识别是其中的一种.以随机过程理论为基础的表面刻痕识别技术可以确切地识别表面形貌的各项特征，其各阶谱矩及统计不变量可以对表面的刻痕以及各向异性进行详细地刻画.区域重力场上的各向异性刻痕主要反映地壳线状变形带，它们常常是区域大地构造单元的边界.本文用重力场研究地壳变形带信息识别方法，将二阶谱矩、统计不变量等参数赋予一定的地质构造含义，并定义了脊形化系数、边界脊形化系数等，从而更详细地表征地壳变形带及大陆构造单元边界信息.理论模型与实际数据试验结果均表明，地壳变形带信息识别方法不但对重力场上地壳变形产生的线形刻痕进行了有效的刻画，而且提取出的刻痕信息，可为大陆构造单元划分提供客观依据.

Recognizing and extracting the information of crustal deformation belts from the gravity field

Recognition of surface topography refers to some technologies by using specific parameters to characterize geometries and attributions of each area, including recognition of surface scores. Based on the theory of stochastic processes, the surface score analysis permits precisely describing the characteristics of surface geometry. Its parameters such as spectral moments and statistically constant qualities can indicate scores on a surface and evaluate the surface's anisotropy as well. The scores on the regional gravity field, that usually show high anisotropy, are often correlated with crustal deformation belts, which can become boundaries of continental tectonic units. This paper presents an information recognition method of crustal deformation belts by applying the score analysis on the regional gravity field by calculating the second-order spectral moment and statistically constant quality parameters to define the ridge and boundary ridge coefficients, which can characterize the deformation belts accurately. Tests on both theoretical models and real data of the Tongbai-Dabie regional gravity field indicate that the ridge coefficient information correlates with crustal deformation belts correctly and effectively. Furthermore, the extracted information about the scores can provide objective basis for regional tectonic divisions.