Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Enhancement of Potential Field Source Boundaries Using an Improved Logistic Filter
by
Van Vu Tich
, Pham, Luan Thanh
, Trinh, Phuong Thi
, Le Thi Sang
in
Boundaries
/ Detection
/ Gravity data
/ Methods
/ Potential fields
2020
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Enhancement of Potential Field Source Boundaries Using an Improved Logistic Filter
by
Van Vu Tich
, Pham, Luan Thanh
, Trinh, Phuong Thi
, Le Thi Sang
in
Boundaries
/ Detection
/ Gravity data
/ Methods
/ Potential fields
2020
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Enhancement of Potential Field Source Boundaries Using an Improved Logistic Filter
Journal Article
Enhancement of Potential Field Source Boundaries Using an Improved Logistic Filter
2020
Request Book From Autostore
and Choose the Collection Method
Overview
Detection of source horizontal boundaries is a common feature in the interpretation of magnetic and gravity data. A wide range of derivative- and phase-based methods are available to solve this problem. Here, we compare the effectiveness of the commonly used methods, and introduce a method based on the logistic function and the horizontal gradient amplitude, which shows improved performance as a boundary detection filter. The effectiveness of the proposed filter is demonstrated by evaluating synthetic examples and a real example from the Central Puget Lowland (United States). The main advantage of this method is that it provides high-resolution results, and can avoid producing spurious boundaries in the output maps.
Publisher
Springer Nature B.V
Subject
This website uses cookies to ensure you get the best experience on our website.