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...
Main Authors: | , , , , |
---|---|
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 |
id |
doaj-aec7549f619a4fd7a4539d620f57e8f5 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT yanboming thespatialdifferentorderderivativemethodofgravityandmagneticanomaliesforsourcedistributioninversion AT guoqingma thespatialdifferentorderderivativemethodofgravityandmagneticanomaliesforsourcedistributioninversion AT lilili thespatialdifferentorderderivativemethodofgravityandmagneticanomaliesforsourcedistributioninversion AT jiangtaohan thespatialdifferentorderderivativemethodofgravityandmagneticanomaliesforsourcedistributioninversion AT taihanwang thespatialdifferentorderderivativemethodofgravityandmagneticanomaliesforsourcedistributioninversion AT yanboming spatialdifferentorderderivativemethodofgravityandmagneticanomaliesforsourcedistributioninversion AT guoqingma spatialdifferentorderderivativemethodofgravityandmagneticanomaliesforsourcedistributioninversion AT lilili spatialdifferentorderderivativemethodofgravityandmagneticanomaliesforsourcedistributioninversion AT jiangtaohan spatialdifferentorderderivativemethodofgravityandmagneticanomaliesforsourcedistributioninversion AT taihanwang spatialdifferentorderderivativemethodofgravityandmagneticanomaliesforsourcedistributioninversion |
_version_ |
1724231391989727232 |