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我们已提出了一种改进的Levcnburg—Marquart法,它可对布格重力数据进行快速反演,以求取作为观测场源的3D密度分布。设计此法的目的是用自动解法代替冗长的正演模拟.确定用户提供的地质信息约束的密度模型。并在未提供地质信息处生成目标模型。该法用最小平方反演解估算
We have proposed an improved Levcnburg-Marquart method that can quickly retrieve Bouguer gravity data in order to obtain the 3D density distribution as a source of observation. The purpose of this method is to replace the lengthy forward modeling with an automatic solution to determine the density model of the geologic information constraints provided by the user. And generate the target model without providing geological information. This method is estimated by the least squares inverse solution