edge detection and edge enhancement techniques play an essential role in interpreting potential field data. this paper describes the application of various edge detection techniques to gravity data in order to delineate the edges of subsurface structures. the edge detection methods comprise analytic signal, total horizontal derivative (thdr), theta angle, tilt angle, hyperbolic of tilt angle (h...

the method of artificial neural network is used as a suitable tool for intelligent interpretation of gravity data in this paper. we have designed a hopfield neural network to estimate the gravity source depth. the designed network was tested by both synthetic and real data. as real data, this artificial neural network was used to estimate the depth of a qanat (an underground channel) located at...

the different similarity transformation (dst) technique (stavrev, 1997) utilizes a powerful and fully automatic tool for depth estimation of a point source through euler de-convolution. stavrev (1997) showed the results for the magnetic data of simple 2-d sources and aeromagnetic data along profiles. we apply the technique for the gravity data of 2-d rectangular models and real gravity data whi...

measurements of the tilt angle of potential fields can be a useful aid to their interpretation. there are several varieties of the methods in use, such as tilt angle, and the derivative of tilt angle. tilt angle filters are used for exact edge detection of the rectangular bodies artificially by writing a matlab code. the gravity effects of these models are computed by standard algorithms. the e...

one of the main goals of interpretation of gravity data is to detect location and edges of the anomalies. edge detection of gravity anomalies is carried out by different methods. terracing of the data is one of the approaches that help the interpreter to achieve appropriate results of edge detection. this goal becomes a complex task when the gravity anomalies have smooth borders due to gradual ...

in this paper, it has been shown that there is a special relation between horizontal and vertical gradients of gravity data and the vertical and horizontal components of magnetic data for some of 2-d sources. it has been shown that the hilbert transform is useful in calculating the vertical gradient of gravity and magnetic anomalies from the horizontal gradient for transformation of gravity and...

in this paper an intelligent method through general regression neural networks (grnn) is presented to estimate the depth of salt domes from gravity data. neural networks are as a good tool for automatic interpretation of geophysical data especially for depth estimation of gravity anomalies. the gravity signal is a nonlinear function of depth and density and the geometrical parameters of the bur...

Estimating the gravity anomaly causative bodies boundary can facilitate the gravity field interpretation. In this paper, 2D discrete wavelet transform (DWT) is employed as a method to delineate the boundary of the gravity anomaly sources. Hence, the GRACE’ satellite gravity data is decomposed using DWT. DWT decomposites a single approximation coefficients into four distinct components: the appr...

in common classical methods of cavity depth estimation through microgravity data, usually when a pre-geometrical model is considered for the cavity shape, the simple geometrical models of sphere, vertical cylinder and horizontal cylinder are commonly used. it is obviously an important fact that in real conditions the shapes of the cavities are not exactly sphere, horizontal cylinder or vertical...