☆ 4.7 Article

3-D Joint Inversion of DC Resistivity and Time-Domain Induced Polarization With Structural Constraints in Undulating Topography

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Artificial Intelligence

UIU-Net: U-Net in U-Net for Infrared Small Object Detection

Xin Wu et al.

Summary: This paper proposes a simple and effective UIU-Net framework for small object detection in infrared images, which consists of a large U-Net backbone and an embedded small U-Net for multi-level and multi-scale representation learning. Experimental results demonstrate the superior performance of UIU-Net on infrared single-frame image datasets and video sequence datasets.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2023)

添加到收藏夹

Article Geochemistry & Geophysics

3-D Joint Inversion of Airborne Electromagnetic and Magnetic Data Based on Local Pearson Correlation Constraints

Yunhe Liu et al.

Summary: Based on the spatial structure correlation, this paper proposes a new 3-D joint inversion method that incorporates a local Pearson correlation constraint. The method provides flexibility for solving multiscale problems and has been validated through synthetic examples and field survey datasets.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

添加到收藏夹

Article Geochemistry & Geophysics

The Role of Model Weighting Functions in the Gravity and DC Resistivity Inversion

Ramin Varfinezhad et al.

Summary: This article analyzes the inversion with the mostly used model weighting functions for both gravity and dc resistivity data, providing synthetic cases to discuss the pros and cons of each model-weighting function. The results show that the depth weighting and compacting factor play crucial roles in source reconstruction and faster convergence, particularly for dc resistivity data. The study confirms the effectiveness of depth weighting and compactness for modeling deep resistive sources in both synthetic and real dc resistivity cases.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

添加到收藏夹

Article Geochemistry & Geophysics

Joint Inversion of Multiphysical Parameters Based on a Combination of Cosine Dot-Gradient and Joint Total Variation Constraints

Rongzhe Zhang et al.

Summary: The study introduces a new joint inversion algorithm for structural constraints, which combines CDG and JTV constraints to enhance the accuracy of reconstructing underground discontinuous interfaces. The utilization of adaptive IESR algorithm has shown promising results in improving resolution and computational efficiency, offering a new technological approach for geophysical interpretation and exploration work.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

添加到收藏夹

Article Geochemistry & Geophysics

Convolutional Neural Networks for Multimodal Remote Sensing Data Classification

Xin Wu et al.

Summary: This paper proposes a new framework for multimodal remote sensing data classification, using deep learning and a cross-channel reconstruction module to learn compact fusion representations of different data sources. Extensive experiments on two multimodal RS datasets demonstrate the effectiveness and superiority of the proposed method.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

添加到收藏夹

Article Geochemistry & Geophysics

3-D Joint Inversion of MT and CSEM Data for Imaging a High-Temperature Geothermal System in Yanggao Region, Shanxi Province, China

Weiyang Liao et al.

Summary: This study utilizes a three-dimensional Gauss-Newton approach to jointly invert magnetotelluric (MT) and controlled-source electromagnetic (CSEM) data for better characterization of subsurface resistivity structures. The results of the joint inversion demonstrate improved model characterization for both conductive and resistive structures, which can be applied for exploration and drilling purposes.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

添加到收藏夹

Article Geochemistry & Geophysics

Exploration of a Copper Ore Deposit in Elbistan/Turkey Using 2D Inversion of the Time-Domain Induced Polarization Data by Using Unstructured Mesh

Juliane Adrian et al.

Summary: This study presents the results of a survey exploring a copper ore deposit in Elbistan, Turkey, using direct current resistivity and time-domain induced polarization methods. By acquiring data on eight parallel profiles and interpreting them with a newly developed 2D DC/TDIP inversion algorithm, the researchers were able to detect a strong chargeability anomaly associated with the ore body. The study also demonstrates that chargeability anomalies can be detected in the absence of corresponding resistivity anomalies.

PURE AND APPLIED GEOPHYSICS (2022)

添加到收藏夹

Article Geochemistry & Geophysics

More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

Danfeng Hong et al.

Summary: This study introduces a general multimodal deep learning (MDL) framework for the classification and identification challenges in geoscience and remote sensing. By investigating a special case of multi-modality learning (MML), the study presents five fusion strategies and demonstrates how to train deep networks and build network architectures effectively. Experimental results on two different multimodal RS data sets confirm the efficiency and advantages of the proposed MDL framework.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

添加到收藏夹

Article Geochemistry & Geophysics

Graph Convolutional Networks for Hyperspectral Image Classification

Danfeng Hong et al.

Summary: This article thoroughly investigates the applications of Convolutional Neural Networks (CNNs) and Graph Convolutional Networks (GCNs) in hyperspectral image classification. By developing a new minibatch GCN (miniGCN) to train and infer large-scale GCNs, as well as exploring fusion strategies for different types of HS features, the study achieves good classification performance.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

添加到收藏夹

Article Geochemistry & Geophysics

Deep Learning Inversion of Electrical Resistivity Data

Bin Liu et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

添加到收藏夹

Article Geochemistry & Geophysics

Alternating Joint Inversion of Controlled-Source Electromagnetic and Seismic Data Using the Joint Total Variation Constraint

Gang Li et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)

添加到收藏夹

Article Geochemistry & Geophysics

Three-dimensional DC anisotropic resistivity modelling using finite elements on unstructured grids

Wei Wang et al.

GEOPHYSICAL JOURNAL INTERNATIONAL (2013)

添加到收藏夹

Article Environmental Sciences

Improved hydrogeophysical characterization using joint inversion of cross-hole electrical resistance and ground-penetrating radar traveltime data

Niklas Linde et al.

WATER RESOURCES RESEARCH (2006)

添加到收藏夹

Article Geochemistry & Geophysics

Three-dimensional modelling and inversion of dc resistivity data incorporating topography -: I.: Modelling

Carsten Ruecker et al.

GEOPHYSICAL JOURNAL INTERNATIONAL (2006)

添加到收藏夹

Article Geochemistry & Geophysics

Joint two-dimensional DC resistivity and seismic travel time inversion with cross-gradients constraints

LA Gallardo et al.

JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2004)

添加到收藏夹

Article Geochemistry & Geophysics

Computations of secondary potential for 3D DC resistivity modelling using an incomplete Choleski conjugate-gradient method

XP Wu et al.

GEOPHYSICAL PROSPECTING (2003)

添加到收藏夹

Article Geochemistry & Geophysics

Finite element three-dimensional direct current resistivity modelling: accuracy and efficiency considerations

Z Bing et al.

GEOPHYSICAL JOURNAL INTERNATIONAL (2001)

添加到收藏夹

Article Geochemistry & Geophysics

3-D inversion of induced polarization data

YG Li et al.

GEOPHYSICS (2000)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.