Improvements of the Directional Total Horizontal Derivatives and Their Application in Edge Detection

doi:10.12068/j.issn.1005-3026.2019.01.020

Journal of Northeastern University Natural Science ›› 2019, Vol. 40 ›› Issue (1): 104-108.DOI: 10.12068/j.issn.1005-3026.2019.01.020

• Resources & Civil Engineering • Previous Articles Next Articles

Improvements of the Directional Total Horizontal Derivatives and Their Application in Edge Detection

HOU Zhen-long^{1, 2}， WANG En-de^{1, 2}， TANG Shui-liang³， YUAN Yuan⁴

1. School of Resources & Civil Engineering， Northeastern University， Shenyang 110819， China; 2. Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines， Northeastern University， Shenyang 110819， China; 3. College of Geo-exploration Science and Technology， Jilin University， Changchun 130026， China; 4. Second Institute of Oceanography， State Oceanic Administration， Hangzhou 310012， China.

Received:2017-10-30 Revised:2017-10-30 Online:2019-01-15 Published:2019-01-28
Contact: HOU Zhen-long
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Abstract

Abstract: An improvement was made on the basis of directional total horizontal derivative to increase the edge detection resolution in the gravity exploration and enhance the ability of dividing and detecting geological body boundary. Six new kinds of edge detectors were presented， including the vertical derivative of directional total horizontal derivative and enhanced directional total horizontal derivative， directional total horizontal derivative and its vertical derivative integrated in x， y and z direction， which are based on gravity gradiometry data. Through the theoretical model and noise test， it is proved that the improved methods have the good ability for boundary division. Compared with the ordinary ones， the detected edges agree well with that from the model. The real data from Vinton Dome are introduced into the proposed methods and the edges of underground cap rock are recognized more clearly， and the feasibility of the proposed methods is verified.

Key words: gravity gradiometry data, directional total horizontal derivatives, vertical derivative, edge detection, Vinton Dome

CLC Number:

TD15

HOU Zhen-long ， WANG En-de ， TANG Shui-liang， YUAN Yuan. Improvements of the Directional Total Horizontal Derivatives and Their Application in Edge Detection[J]. Journal of Northeastern University Natural Science, 2019, 40(1): 104-108.

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Improvements of the Directional Total Horizontal Derivatives and Their Application in Edge Detection

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