Method for aviation gravity data interpolation, edge expansion and down extension integration
A technology of aviation gravity and data interpolation, applied in the measurement of gravitational fields, measuring devices, instruments, etc., can solve the problems of no blank data, low precision, regardless of data length requirements, etc., achieves less parameters, low complexity, and algorithmic Easy to use effect
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Embodiment 1
[0040] Such as figure 1 As shown, an integrated method of interpolation, edge expansion and downward extension of aviation gravity data, the method includes:
[0041] Step 100: Obtain aviation gravity data g(x,y), zero-fill the missing data and boundary positions of the aviation gravity data g(x,y), and obtain zero-filled gravity data g′(x,y);
[0042] Step 200: Calculate the cut-off wave number C using the L-curve method K ;
[0043] Step 300: Perform two-dimensional Fourier transform processing on the zero-filled gravity data g′(x,y) to obtain the frequency spectrum G(u,v) of the zero-filled gravity data g′(x,y);
[0044] Step 400: Perform low-pass filtering processing on the frequency spectrum G(u,v) to obtain the spectral component G′(u,v) of the frequency spectrum G(u,v);
[0045] Step 500: Perform a two-dimensional inverse Fourier transform on the spectral component G′(u,v) to obtain inverse transform data;
[0046] Step 600: Fill the position with missing data in the aerial gravit...
Embodiment 2
[0058] Perform simulation experiments on the rectangular body weight model:
[0059] The theoretical model adopts the rectangular weight force field model. The length, width and height of the cuboid are 8km, 4km, and 4km respectively, the center buried depth is 3km, and the remaining density is 1.0t / m 3 . Forward calculation of gravity data on the ground (0km, 200×200 size) and 1km above the ground (256×256 size) are as follows: figure 2 with 3 As shown, the dashed box is the position of the cuboid. In order to simulate the actual situation and test the anti-noise ability of the method, give image 3 Adding Gaussian white noise with zero mean and variance of 0.01 to the gravity data, the signal-to-noise ratio is 39.63dB, and the result is as follows Figure 4 Shown. At the same time, in order to test the method's interpolation and edge expansion capabilities, the Figure 4 Each of the four boundaries is 28, a total of 25536 data and the internal part of data 40×50, a total of 2...
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