A review on the <em>TDX</em> filter and its modifications: Application to gravity data interpretation

Long Duc Luu; Saulo Pomponet Oliveira; Korimilli Naga Durga Prasad; Luan Thanh Pham

doi:10.15625/1859-3097/23988

Author affiliations

Authors

Long Duc Luu University of Science, Vietnam National University, Hanoi, Vietnam
Saulo Pomponet Oliveira Department of Mathematics and Graduate Program in Geology, Federal University of Paraná, Caixa Postal 19096, Curitiba, PR, Brazil https://orcid.org/0000-0001-8227-8230
Korimilli Naga Durga Prasad Gravity and Magnetic Group, CSIR-National Geophysical Research Institute, Hyderabad-500007, Telangana, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
Luan Thanh Pham University of Science, Vietnam National University, Hanoi, Vietnam https://orcid.org/0000-0002-5415-8001

DOI:

https://doi.org/10.15625/1859-3097/23988

Keywords:

Edge detection, TDX, Central Indian Ridge, gravity data interpretation, marine geophysics

Abstract

Edge detection plays a fundamental role in interpreting gravity and magnetic data, providing important constraints on subsurface structural boundaries, such as faults, contacts, and dikes. Among the available techniques, the horizontal tilt angle (TDX) filter and its variants have been widely applied in the literature. This study presents a comparative assessment of the TDX filter and several of its modifications, including TDXAS, INH, TDX2, NSAS, and HGITDX, with emphasis on their ability to accurately delineate source edges. Using synthetic models and real gravity data from the eastern region of the Central Indian Ridge, we show that HGITDX yields the most sharply localized and accurate edge responses under noise-free and low-noise conditions. In contrast, the classical TDX filter provides more stable but lower-resolution results. Our analysis provides practical guidance for selecting appropriate TDX-based filters under different data conditions.

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