The Spatial Different Order Derivative Method of Gravity and Magnetic Anomalies for Source Distribution Inversion

Gravity and magnetic measurements are common remote sensing strategies to obtain the property change of observed targets. Nowadays, the characteristic value of the derivatives of gravity and magnetic anomalies is commonly used to detect the source horizontal edge. We found that the horizontal coordi...

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Main Authors: Yanbo Ming, Guoqing Ma, Lili Li, Jiangtao Han, Taihan Wang
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/5/964
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spelling doaj-aec7549f619a4fd7a4539d620f57e8f52021-03-05T00:04:16ZengMDPI AGRemote Sensing2072-42922021-03-011396496410.3390/rs13050964The Spatial Different Order Derivative Method of Gravity and Magnetic Anomalies for Source Distribution InversionYanbo Ming0Guoqing Ma1Lili Li2Jiangtao Han3Taihan Wang4College of Geo-Exploration Sciences and Technology, Jilin University, Changchun 130026, ChinaCollege of Geo-Exploration Sciences and Technology, Jilin University, Changchun 130026, ChinaCollege of Geo-Exploration Sciences and Technology, Jilin University, Changchun 130026, ChinaCollege of Geo-Exploration Sciences and Technology, Jilin University, Changchun 130026, ChinaCollege of Geo-Exploration Sciences and Technology, Jilin University, Changchun 130026, ChinaGravity and magnetic measurements are common remote sensing strategies to obtain the property change of observed targets. Nowadays, the characteristic value of the derivatives of gravity and magnetic anomalies is commonly used to detect the source horizontal edge. We found that the horizontal coordinates of the characteristic value of different-order derivatives are not directly corresponding to the edge of the source, which varies with the depth and size of the source. The spatial different-order derivative (SDD) method of gravity and magnetic anomalies was developed, and we proved that the spatial intersection of different-order derivatives is corresponding to the location of the source, and used this feature to obtain horizontal location and depth of the source simultaneously. The model tests proved that the SDD method has high accuracy and strong anti-noisy. According to the corresponding relationship between the potential field data and lithology, we used the SDD method to delineate the potential metalorganic area in the survey region, which provides the basis for subsequent exploration.https://www.mdpi.com/2072-4292/13/5/964field source distributionspatial different-order derivative (SDD)extreme valueintersectionbalanced function
collection DOAJ
language English
format Article
sources DOAJ
author Yanbo Ming
Guoqing Ma
Lili Li
Jiangtao Han
Taihan Wang
spellingShingle Yanbo Ming
Guoqing Ma
Lili Li
Jiangtao Han
Taihan Wang
The Spatial Different Order Derivative Method of Gravity and Magnetic Anomalies for Source Distribution Inversion
Remote Sensing
field source distribution
spatial different-order derivative (SDD)
extreme value
intersection
balanced function
author_facet Yanbo Ming
Guoqing Ma
Lili Li
Jiangtao Han
Taihan Wang
author_sort Yanbo Ming
title The Spatial Different Order Derivative Method of Gravity and Magnetic Anomalies for Source Distribution Inversion
title_short The Spatial Different Order Derivative Method of Gravity and Magnetic Anomalies for Source Distribution Inversion
title_full The Spatial Different Order Derivative Method of Gravity and Magnetic Anomalies for Source Distribution Inversion
title_fullStr The Spatial Different Order Derivative Method of Gravity and Magnetic Anomalies for Source Distribution Inversion
title_full_unstemmed The Spatial Different Order Derivative Method of Gravity and Magnetic Anomalies for Source Distribution Inversion
title_sort spatial different order derivative method of gravity and magnetic anomalies for source distribution inversion
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2021-03-01
description Gravity and magnetic measurements are common remote sensing strategies to obtain the property change of observed targets. Nowadays, the characteristic value of the derivatives of gravity and magnetic anomalies is commonly used to detect the source horizontal edge. We found that the horizontal coordinates of the characteristic value of different-order derivatives are not directly corresponding to the edge of the source, which varies with the depth and size of the source. The spatial different-order derivative (SDD) method of gravity and magnetic anomalies was developed, and we proved that the spatial intersection of different-order derivatives is corresponding to the location of the source, and used this feature to obtain horizontal location and depth of the source simultaneously. The model tests proved that the SDD method has high accuracy and strong anti-noisy. According to the corresponding relationship between the potential field data and lithology, we used the SDD method to delineate the potential metalorganic area in the survey region, which provides the basis for subsequent exploration.
topic field source distribution
spatial different-order derivative (SDD)
extreme value
intersection
balanced function
url https://www.mdpi.com/2072-4292/13/5/964
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