| This paper focuses on the derivation of various characteristics of the geophysical field theory as well as the integrated probability tomography. Research on the Integrated probability tomography of the gravity, magnetic and self-potential fields. probability tomography is essentially the normalized cross-correlation of the geophysical field and the back-projection kernel function.Improved imaging methods and done a large number of tests with various of models, and Resolving power of the imaging system analysis and evaluation is given. proposed to improve the scanning function with three methods, and gained a high quality image in the tests with the models. Higher derivative scanning function can be used in locationing the Vertical boundary of abnormal body. Depth-weighted scan function adapt the layered model, and has the effect of solving convergence issues the abnormal body. Self-adapt scanning function is good at the geophysics field which generate with the sparse matrix source, and this method has good stability and convergence. Spread the Generalized probability tomography for further. On this basis, as an example to the gravity field for geophysical modeling and geophysical data inversion, as well as comparative analysis.Model tests carried out to explore and improve the realization of algorithm procedure, discretization formula, selection and scale of the sliding window. Change the analytical expression formula of the anomaly field sourced with three-body into limited summation formula which computer programming can be delivered directly. Discussed and solving the effective depth, sliding window, while expanding scale interpolation problems. With a result in the model test.Proved the resolving power in the tomography of the field which generated with two-dimensional models and the combination of three-dimentional models. At the last, compared the image which processed two real data with the generalized probability tomography with what used the commercial software COSCAD.
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