NSTL国家科技图书文献中心

1. Moho depth variations of Zealandia from gravity data inversion and implications for continental breakup NSTL国家科技图书文献中心

Feng, Xuliang | Zong, Xiangyu ... - 《Tectonophysics》 - 2025,898 - 共15页

摘要： its adjacent regions, we isolate the gravity* anomaly* | model CRUST1.0 and corresponding Moho gravity | CRUST1.0-derived Moho depths and observed gravity | slope of linear regression between actual Moho gravity | anomalies and fitted gravity* anomalies computed from*

关键词： Moho depth | gravity inversion | density contrast estimation | Zealandia

2. Gravity Data Inversion by a Faulted 2-D Horizontal Block of Arbitrary Thickness With Application to Crustal Imaging NSTL国家科技图书文献中心

Salah A. Mehanee | Graham Heinson - 《IEEE Transactions on Geoscience and Remote Sensing》 - 2025,63 - 1～21 - 共21页

摘要： interpretations. The data* inversion of the Saganash Lake fault* | An efficient inversion* scheme has been* | developed for the interpretation of a residual gravity | assessed on noisy numerical data, and it was found stable | imaging. The inversion* of the Garber structure, Garber*

关键词： Gravity | Slabs | Noise measurement | Geology | Pollution measurement | Minimization | Geologic measurements | Data models | Accuracy | Numerical models

3. Gravity data inversion for parameters assessment over geologically faulted structures-A hybrid particle swarm optimization and gravitational search algorithm technique NSTL国家科技图书文献中心

Nitesh Kumar | Kuldeep Sarkar ... - 《Geophysical Prospecting》 - 2025,73(1) - 188～212 - 共25页

摘要： technique has been tested on synthetic gravity* data with* | Interpreting gravity* anomalies caused by fault* | from gravity* anomalies, we present a nature-inspired* | structure before being applied to field data* taken from* | field data, the true model is never known; in these

关键词： gravity anomalies | inversion | PSOGSA | resolution | uncertainty

4. Intelligent Acquisition of the Cluster Centers for Inversion of Gravity Data NSTL国家科技图书文献中心

Like Ma | Jun Wang ... - 《IEEE geoscience and remote sensing letters》 - 2025,22 - 1～5 - 共5页

摘要：, the gravity* field data from the San Nicolas deposit* | information and inversion* results, thus playing an important* | predetermined based on available rock physical data* of the* | dense connectivity to achieve the reuse of input data | are adopted for real data* test. The results are*

关键词： Training | Gravity | Accuracy | Data models | Neural networks | Electronic mail | Convolution

5. Three-Dimensional Inversion of Gravity Data Using the Levy PDF for Depth Weighting and a Rank Order Smoothing Constraint NSTL国家科技图书文献中心

Bal, Oya Tarhan | Karcioglu, Gokhan - 《Mathematical geosciences》 - 2025,57(3) - 523～545 - 共23页

摘要：Three-dimensional inversion of gravity data | inversion scheme was demonstrated on field gravity data | gravity data. By exploiting the ease of implementation | constraint to regularize the three-dimensional gravity | inversion problem and applied a new depth weighting scheme

关键词： Gravity | 3D inversion | Rank order smoothing | Depth weighting | Levy PDF

6. Improved 3-D Joint Inversion of Gravity and Magnetic Data Based on Deep Learning With a Multitask Learning Strategy NSTL国家科技图书文献中心

Yuan Fang | Jun Wang ... - 《IEEE Transactions on Geoscience and Remote Sensing》 - 2025,63 - 1～13 - 共13页

摘要： realize joint inversion of gravity and magnetic data | establish joint inversion* of multiple geophysical data. To* | different items (such as data* misfit term, regularization* | , two tasks are used for the independent inversion | information of the independent inversion* networks and*

关键词： Gravity | Multitasking | Couplings | Geology | Data models | Data mining | Magnetic susceptibility | Training | Convolution | Accuracy

7. Seafloor topography inversion from multi-source marine gravity data using multi-channel convolutional neural network NSTL国家科技图书文献中心

Bangzhuang Ge | Jinyun Guo ... - 《Engineering Applications of Artificial Intelligence》 - 2025,139(Jan. Pt.A) - 109567.1～109567.10 - 共10页 - 被引量：1

摘要：-source marine gravity* data and recovering non-linear* | model is trained using the input data* from the 64 × 64* | input data* includes the differences in position* | , gravity* anomaly, vertical gravity gradient, east* | reference terrain information. Then, the data* from the 64*

关键词： Seafloor topography | Marine gravity anomaly | Vertical gravity gradient | Deflection of the vertical | Multi-channel convolutional neural network

8. A Multivariate Geometric Equivalent Transformation (MGET) Method for Efficient Kernel Function Calculation in the Inversion of Gravity Data With Undulating Observation Surface NSTL国家科技图书文献中心

Zhewei Zhang | Guoqing Ma ... - 《IEEE Transactions on Geoscience and Remote Sensing》 - 2025,63 - 1～8 - 共8页

摘要：The observation surface of gravity* data is* | of gravity* data is seriously reduced due to the low* | gravity data. Tests show that the kernel matrices | gravity data from Harbin City, China, to obtain the | often undulating, and the density inversion* efficiency*

关键词： Kernel | Benchmark testing | Gravity | Computational efficiency | Matrix converters | Accuracy | Geoscience and remote sensing | Area measurement | Urban areas | Training

9. 3D Shear-Wave Velocity and Density Modeling of the Northern Cascadia Subduction Zone NSTL国家科技图书文献中心

Ojo, A. O. | Molnar, S.... - 《Journal of geophysical research.Solid earth》 - 2025,130(3) - n/a～n/a - 共22页

摘要： data from the past two decades, we measure surface | various depths. Additionally, Bouguer anomaly data* were* | In the Northern Cascadia Subduction Zone (NCSZ | ), we developed a new 3D model for shear-wave velocity | (V-S) and density to improve seismic hazard

关键词： Cascadia subduction zone | ambient noise tomography | surface wave tomography | bouguer anomaly | gravity data inversion | earthquake simulation

10. Lineament fabric, crustal structure and isostatic state of the Rub’ Al-Khali Basin from gravity data NSTL国家科技图书文献中心

Pham L.T. | Abdelrahman K.... - 《Journal of Asian earth sciences》 - 2025,279(Feb.) - 1.1～1.21 - 共21页

摘要： the basin from high resolution gravity* data of the* | . In addition, the gravity* inversion has been used* | only from geophysical data. In this study, we | sources at different depth levels from Bouguer gravity | data. The edge detection techniques are applied to

摘要： its adjacent regions, we isolate the gravity* anomaly* | model CRUST1.0 and corresponding Moho gravity | CRUST1.0-derived Moho depths and observed gravity | slope of linear regression between actual Moho gravity | anomalies and fitted gravity* anomalies computed from*

关键词： Moho depth | gravity inversion | density contrast estimation | Zealandia

摘要： interpretations. The data* inversion of the Saganash Lake fault* | An efficient inversion* scheme has been* | developed for the interpretation of a residual gravity | assessed on noisy numerical data, and it was found stable | imaging. The inversion* of the Garber structure, Garber*

关键词： Gravity | Slabs | Noise measurement | Geology | Pollution measurement | Minimization | Geologic measurements | Data models | Accuracy | Numerical models

摘要： technique has been tested on synthetic gravity* data with* | Interpreting gravity* anomalies caused by fault* | from gravity* anomalies, we present a nature-inspired* | structure before being applied to field data* taken from* | field data, the true model is never known; in these

关键词： gravity anomalies | inversion | PSOGSA | resolution | uncertainty

摘要：, the gravity* field data from the San Nicolas deposit* | information and inversion* results, thus playing an important* | predetermined based on available rock physical data* of the* | dense connectivity to achieve the reuse of input data | are adopted for real data* test. The results are*

关键词： Training | Gravity | Accuracy | Data models | Neural networks | Electronic mail | Convolution

摘要：Three-dimensional inversion of gravity data | inversion scheme was demonstrated on field gravity data | gravity data. By exploiting the ease of implementation | constraint to regularize the three-dimensional gravity | inversion problem and applied a new depth weighting scheme

关键词： Gravity | 3D inversion | Rank order smoothing | Depth weighting | Levy PDF

摘要： realize joint inversion of gravity and magnetic data | establish joint inversion* of multiple geophysical data. To* | different items (such as data* misfit term, regularization* | , two tasks are used for the independent inversion | information of the independent inversion* networks and*

关键词： Gravity | Multitasking | Couplings | Geology | Data models | Data mining | Magnetic susceptibility | Training | Convolution | Accuracy

摘要：-source marine gravity* data and recovering non-linear* | model is trained using the input data* from the 64 × 64* | input data* includes the differences in position* | , gravity* anomaly, vertical gravity gradient, east* | reference terrain information. Then, the data* from the 64*

关键词： Seafloor topography | Marine gravity anomaly | Vertical gravity gradient | Deflection of the vertical | Multi-channel convolutional neural network

摘要：The observation surface of gravity* data is* | of gravity* data is seriously reduced due to the low* | gravity data. Tests show that the kernel matrices | gravity data from Harbin City, China, to obtain the | often undulating, and the density inversion* efficiency*

关键词： Kernel | Benchmark testing | Gravity | Computational efficiency | Matrix converters | Accuracy | Geoscience and remote sensing | Area measurement | Urban areas | Training

摘要： data from the past two decades, we measure surface | various depths. Additionally, Bouguer anomaly data* were* | In the Northern Cascadia Subduction Zone (NCSZ | ), we developed a new 3D model for shear-wave velocity | (V-S) and density to improve seismic hazard

关键词： Cascadia subduction zone | ambient noise tomography | surface wave tomography | bouguer anomaly | gravity data inversion | earthquake simulation

摘要： the basin from high resolution gravity* data of the* | . In addition, the gravity* inversion has been used* | only from geophysical data. In this study, we | sources at different depth levels from Bouguer gravity | data. The edge detection techniques are applied to

关键词： Gravity data | Moho | Rub Al-Khali Basin | Structural configuration

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： its adjacent regions, we isolate the gravity anomaly | model CRUST1.0 and corresponding Moho gravity | CRUST1.0-derived Moho depths and observed gravity | slope of linear regression between actual Moho gravity | anomalies and fitted gravity anomalies computed from

关键词： Moho depth | gravity inversion | density contrast estimation | Zealandia

摘要： interpretations. The data inversion of the Saganash Lake fault | An efficient inversion scheme has been | developed for the interpretation of a residual gravity | assessed on noisy numerical data, and it was found stable | imaging. The inversion of the Garber structure, Garber

关键词： Gravity | Slabs | Noise measurement | Geology | Pollution measurement | Minimization | Geologic measurements | Data models | Accuracy | Numerical models

摘要： technique has been tested on synthetic gravity data with | Interpreting gravity anomalies caused by fault | from gravity anomalies, we present a nature-inspired | structure before being applied to field data taken from | field data, the true model is never known; in these

关键词： gravity anomalies | inversion | PSOGSA | resolution | uncertainty

摘要：, the gravity field data from the San Nicolas deposit | information and inversion results, thus playing an important | predetermined based on available rock physical data of the | dense connectivity to achieve the reuse of input data | are adopted for real data test. The results are

关键词： Training | Gravity | Accuracy | Data models | Neural networks | Electronic mail | Convolution

摘要：Three-dimensional inversion of gravity data | inversion scheme was demonstrated on field gravity data | gravity data. By exploiting the ease of implementation | constraint to regularize the three-dimensional gravity | inversion problem and applied a new depth weighting scheme

关键词： Gravity | 3D inversion | Rank order smoothing | Depth weighting | Levy PDF

摘要： realize joint inversion of gravity and magnetic data | establish joint inversion of multiple geophysical data. To | different items (such as data misfit term, regularization | , two tasks are used for the independent inversion | information of the independent inversion networks and

关键词： Gravity | Multitasking | Couplings | Geology | Data models | Data mining | Magnetic susceptibility | Training | Convolution | Accuracy

摘要：-source marine gravity data and recovering non-linear | model is trained using the input data from the 64 × 64 | input data includes the differences in position | , gravity anomaly, vertical gravity gradient, east | reference terrain information. Then, the data from the 64

关键词： Seafloor topography | Marine gravity anomaly | Vertical gravity gradient | Deflection of the vertical | Multi-channel convolutional neural network

摘要：The observation surface of gravity data is | of gravity data is seriously reduced due to the low | gravity data. Tests show that the kernel matrices | gravity data from Harbin City, China, to obtain the | often undulating, and the density inversion efficiency

关键词： Kernel | Benchmark testing | Gravity | Computational efficiency | Matrix converters | Accuracy | Geoscience and remote sensing | Area measurement | Urban areas | Training

摘要： data from the past two decades, we measure surface | various depths. Additionally, Bouguer anomaly data were | In the Northern Cascadia Subduction Zone (NCSZ | ), we developed a new 3D model for shear-wave velocity | (V-S) and density to improve seismic hazard

关键词： Cascadia subduction zone | ambient noise tomography | surface wave tomography | bouguer anomaly | gravity data inversion | earthquake simulation

摘要： the basin from high resolution gravity data of the | . In addition, the gravity inversion has been used | only from geophysical data. In this study, we | sources at different depth levels from Bouguer gravity | data. The edge detection techniques are applied to

关键词： Gravity data | Moho | Rub Al-Khali Basin | Structural configuration

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： its adjacent regions, we isolate the gravity* anomaly* | model CRUST1.0 and corresponding Moho gravity | CRUST1.0-derived Moho depths and observed gravity | slope of linear regression between actual Moho gravity | anomalies and fitted gravity* anomalies computed from*

摘要： interpretations. The data* inversion of the Saganash Lake fault* | An efficient inversion* scheme has been* | developed for the interpretation of a residual gravity | assessed on noisy numerical data, and it was found stable | imaging. The inversion* of the Garber structure, Garber*

摘要： technique has been tested on synthetic gravity* data with* | Interpreting gravity* anomalies caused by fault* | from gravity* anomalies, we present a nature-inspired* | structure before being applied to field data* taken from* | field data, the true model is never known; in these

摘要： realize joint inversion of gravity and magnetic data | establish joint inversion* of multiple geophysical data. To* | different items (such as data* misfit term, regularization* | , two tasks are used for the independent inversion | information of the independent inversion* networks and*

摘要：-source marine gravity* data and recovering non-linear* | model is trained using the input data* from the 64 × 64* | input data* includes the differences in position* | , gravity* anomaly, vertical gravity gradient, east* | reference terrain information. Then, the data* from the 64*

摘要：The observation surface of gravity* data is* | of gravity* data is seriously reduced due to the low* | gravity data. Tests show that the kernel matrices | gravity data from Harbin City, China, to obtain the | often undulating, and the density inversion* efficiency*

摘要： data from the past two decades, we measure surface | various depths. Additionally, Bouguer anomaly data* were* | In the Northern Cascadia Subduction Zone (NCSZ | ), we developed a new 3D model for shear-wave velocity | (V-S) and density to improve seismic hazard

摘要： the basin from high resolution gravity* data of the* | . In addition, the gravity* inversion has been used* | only from geophysical data. In this study, we | sources at different depth levels from Bouguer gravity | data. The edge detection techniques are applied to