☆ 4.7 Article

Magnetic Anomaly Detection Based on Energy-Concentrated Discrete Cosine Wavelet Transform

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2023)

Related references

Note: Only part of the references are listed.

Article Geochemistry & Geophysics

Complex Magnetic Anomaly Detection Using Structured Low-Rank Approximation With Total Variation Regularization

Huan Liu et al.

Summary: A novel magnetic anomaly detection (MAD) method based on structured low rank (SLR) and total variation (TV) regularization constraints is proposed to improve noise suppression performance and preserve clean boundaries. Field tests show that the proposed SLR-TV method achieves the greatest SNR improvement and the best structural similarity (SSIM) improvement compared to other methods.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2023)

Add to Collection

Article Remote Sensing

Hyperspectral image mixed noise removal via tensor robust principal component analysis with tensor-ring decomposition

Xiaoshuang Xu et al.

Summary: This paper proposes a mixed-noise removal method for hyperspectral images (HSIs) by combining the denoising advantages of tensor-ring (TR) decomposition and tensor robust principal component analysis (TRPCA). The proposed method accurately recovers the low-rank and sparse parts of the image and separates the sparse noise in the form of sparse tensors. Experimental results demonstrate that the proposed TRPCA-TR method outperforms traditional denoising methods and existing improved denoising methods in terms of visual and quantitative evaluations.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2023)

Add to Collection

Article Engineering, Electrical & Electronic

Evaluation Method for Airborne Full Magnetic Gradient Tensor Data Measured Over a Survey Area

Ke Liu et al.

Summary: Airborne surveys of the full magnetic gradient tensor are useful in various studies, but the quality of the measurements can be affected by gradiometer limitations, platform interference, and flight environment complexity. We propose an evaluation method for AFMGT data without the need for independent referencing data, utilizing the harmonicity property for all tensor components. Our method represents the high-order and spatially correlated measurements using tensors, validated through simulations and field experiments. This work serves as a foundation for instrument manufacturing and quality control.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2023)

Add to Collection

Article Geochemistry & Geophysics

Noise Suppression for Vector Magnetic Anomaly Detection by Noise Spatial Characteristics Investigation

Ying Shen et al.

Summary: This method suppresses noise in vector magnetic anomaly detection by analyzing noise spatial characteristics and finding a projection direction with minimum fluctuations for the projected noise. By processing the projected signal with a vector orthogonal basis functions (OBFs) detector, a 3 dB higher signal to noise ratio (SNR) is achieved compared to traditional OBFs filters, effectively suppressing low-frequency noise and obtaining weak target signals.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2022)

Add to Collection

Article Geochemistry & Geophysics

High-Order Directional Total Variation for Seismic Noise Attenuation

Xingye Liu et al.

Summary: A high-order directional total variation (HDTV) method for seismic denoising is developed, considering the local structural direction and higher order derivatives to avoid the staircasing effect. Comparative tests with synthetic models and field seismic data sets demonstrate better denoising performance of the proposed method compared to first-order DTV and conventional high-order TV methods.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

Add to Collection

Article Engineering, Multidisciplinary

An overview of sensing platform-technological aspects for vector magnetic measurement: A case study of the application in different scenarios

Huan Liu et al.

Summary: Magnetic sensing platform techniques are used to evaluate recoverable hydrocarbon reservoirs by determining the depth and pattern of sedimentary rock formations with magnetic minerals, improving quantitative interpretation of magnetic bodies. The vector magnetic survey method provides more precise magnetic field information, enhancing detection resolution of underground target bodies.

MEASUREMENT (2022)

Add to Collection

Article Instruments & Instrumentation

Anomaly detection of complex magnetic measurements using structured Hankel low-rank modeling and singular value decomposition

Xinglin Zhang et al.

Summary: In this paper, a novel structured low-rank decomposition-based magnetic anomaly detection (MAD) method is proposed to improve the performance of MAD with a low signal-to-noise ratio (SNR). The results show that the proposed method can effectively suppress noise and retain boundary information of magnetic anomalies.

REVIEW OF SCIENTIFIC INSTRUMENTS (2022)

Add to Collection

Article Computer Science, Information Systems

Design of Portable Self-Oscillating VCSEL-Pumped Cesium Atomic Magnetometer

Kai Jin et al.

Summary: This study presents the design of a portable self-oscillating VCSEL-pumped Cs atom magnetometer and compares its performance with other types of magnetometers. The results show that the performance of the self-oscillating VCSEL-pumped magnetometer is comparable to that of traditional lamp-pumped magnetometers, with lower power consumption.

ELECTRONICS (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Enhanced Magnetic Imaging for Industrial Metal Workpiece Detection Through the Combination of Electromagnetic Induction and Magnetic Anomalies

Huan Liu et al.

Summary: The effective imaging of metal workpieces is crucial for nondestructive testing. This paper proposes a new active imaging approach for metal workpieces using a combination of electromagnetic induction and magnetic anomalies. Experimental results demonstrate that the proposed method not only extends the detection range of metal workpieces but also effectively detects small metal workpieces.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2022)

Add to Collection

Article Geochemistry & Geophysics

Robust Background Feature Extraction Through Homogeneous Region-Based Joint Sparse Representation for Hyperspectral Anomaly Detection

Yixin Yang et al.

Summary: This article presents a method for background feature extraction through homogeneous region-based JSR, effectively overcoming the shortcomings of traditional methods in common sparsity pattern and anomaly proportion. The method fully explores the spatial characteristics of hyperspectral imagery and eliminates the interference of noise on detection accuracy.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Second-order synchroextracting wavelet transform for nonstationary signal analysis of rotating machinery

Bo Han et al.

Summary: A novel TFA method called second-order synchroextracting wavelet transform (SSEWT) is proposed for characterizing nonstationary signals with widely changing instantaneous frequency features. This method extends the existing synchroextracting transform to the context of wavelet transform and introduces the second-order instantaneous frequency estimate to enhance its processing capability for nonstationary signals. The SSEWT provides concentrated time-frequency representation with multiple resolutions and maintains good invertibility.

SIGNAL PROCESSING (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Magnetic Dipole Two-Point Tensor Positioning Based on Magnetic Moment Constraints

Huan Liu et al.

Summary: This article proposes a new two-point tensor positioning method based on a magnetic moment constraint, which effectively avoids the influence of the geomagnetic field and enables the positioning and tracking of a magnetic target even with relatively low sensor accuracy or high environmental noise.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Improving the Signal-to-Noise-Ratio of Free Induction Decay Signals Using a New Multilinear Singular Value Decomposition-Based Filter

Huan Liu et al.

Summary: A new noise-reduction algorithm based on multilinear SVD for FID signals is proposed in this study, showing significant improvement in SNR compared to traditional methods such as SVD and PCA, especially in high noise interference environments.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Accuracy Evaluation of Calibrating Magnetic Tensor Gradiometers From Total-Field Gradient Measurements in Aeromagnetic Survey

Shibin Liu et al.

Summary: The magnetic gradient tensor represents the spatial rate of change of the magnetic vector along the three axes of the Cartesian coordinate system and is suitable for aeromagnetic surveys. However, existing calibration methods are flawed, necessitating the development of improved evaluation algorithms to enhance accuracy.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)

Add to Collection

Article Instruments & Instrumentation

A fusion of principal component analysis and singular value decomposition based multivariate denoising algorithm for free induction decay transversal data

Huan Liu et al.

REVIEW OF SCIENTIFIC INSTRUMENTS (2019)

Add to Collection

Article Geochemistry & Geophysics

A Nonlinear Regression Application via Machine Learning Techniques for Geomagnetic Data Reconstruction Processing

Huan Liu et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)

Add to Collection

Article Geochemistry & Geophysics

Detection of Magnetic Anomaly Signal Based on Information Entropy of Differential Signal

Ying Tang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)

Add to Collection

Article Engineering, Electrical & Electronic

Magnetic anomaly detection based on stochastic resonance

Chengbiao Wan et al.

SENSORS AND ACTUATORS A-PHYSICAL (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

DCT based weighted adaptive multi-linear data completion and denoising

Baburaj Madathil et al.

NEUROCOMPUTING (2018)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Efficient Parallel Reconstruction for High Resolution Multishot Spiral Diffusion Data With Low Rank Constraint

Congyu Liao et al.

MAGNETIC RESONANCE IN MEDICINE (2017)

Add to Collection

Article Instruments & Instrumentation

Construction of an Overhauser magnetic gradiometer and the applications in geomagnetic observation and ferromagnetic target localization

H. Liu et al.

JOURNAL OF INSTRUMENTATION (2017)

Add to Collection

Article Geochemistry & Geophysics

Calibration of SQUID vector magnetometers in full tensor gradiometry systems

M. Schiffler et al.

GEOPHYSICAL JOURNAL INTERNATIONAL (2014)

Add to Collection

Proceedings Paper Construction & Building Technology

Decreasing Noise in Magnetic Anomaly Detection Basing on Wavelet Denoising

Zhou Jian-jun et al.

FRONTIERS OF GREEN BUILDING, MATERIALS AND CIVIL ENGINEERING III, PTS 1-3 (2013)

Add to Collection

Article Geochemistry & Geophysics

Magnetic Anomaly Detection Using High-Order Crossing Method

Arie Sheinker et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2012)

Add to Collection

Article Engineering, Multidisciplinary

Magnetic anomaly detection using entropy filter

Arie Sheinker et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2008)

Add to Collection

Article Engineering, Electrical & Electronic

Processing of a scalar magnetometer signal contaminated by 1/f α noise

Arie Sheinker et al.

SENSORS AND ACTUATORS A-PHYSICAL (2007)

Add to Collection

Article Engineering, Electrical & Electronic

Processing of magnetic scalar gradiometer signals using orthonormalized functions

B Ginzburg et al.

SENSORS AND ACTUATORS A-PHYSICAL (2002)

Add to Collection

© Peeref 2019-2024. All rights reserved.