A new binarization algorithm based on maximum gradient of histogram

2007 ◽  
Author(s):  
Jia Huading ◽  
Luo Binjie ◽  
Wang Li
Keyword(s):  
Maximum Gradient ◽  
Binarization Algorithm

Maximum Gradient Decision-Making for Railways Based on Convolutional Neural Network

2019 ◽  
Vol 145 (11) ◽  
pp. 04019047 ◽  
Author(s):  
Hao Pu ◽  
Hong Zhang ◽  
Paul Schonfeld ◽  
Wei Li ◽  
Jie Wang ◽  
...  
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Convolutional Neural Network ◽  
Maximum Gradient

Magnitude of anomalies in the vertical gradient of gravity

Geophysics ◽  
1981 ◽  
Vol 46 (11) ◽  
pp. 1609-1610 ◽  
Author(s):  
Sigmund Hammer
Keyword(s):  
Vertical Gradient ◽  
Spherical Body ◽  
Density Contrast ◽  
Maximum Gradient ◽  
Maximum Value ◽  
Simple Mass ◽  
Spherical Mass ◽  
Vertical Gradient Of Gravity

The maximum gradient which can be caused by a simple mass is that of a spherical body. The equation for the vertical gradient at the point P above the center of a spherical mass of density contrast σ (see insert on Figure 1) can be written in the form [Formula: see text] where G is the universal gravity constant [Formula: see text] Expressing the gradient in the Eötvös units, we have [Formula: see text] In terms of percentage of the earth’s normal vertical gradient, the anomaly is [Formula: see text] of 3086 E°. At the surface of the sphere (h = 0), we have the maximum value [Formula: see text] of 3086 E° which is independent of the radius R.

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