Search Results - "Gao, Zhaoqi"

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  1. 1

    Multimutation Differential Evolution Algorithm and Its Application to Seismic Inversion by Gao, Zhaoqi, Pan, Zhibin, Gao, Jinghuai

    “…Seismic inversion problems often involve nonlinear relationships between data and model and usually have many local minima. Linearized inversion methods have…”
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    Journal Article
  2. 2

    2D and 3D amplitude‐preserving elastic reverse time migration based on the vector‐decomposed P‐ and S‐wave records by Zhang, Wei, Gao, Jinghuai, Gao, Zhaoqi, Shi, Ying

    Published in Geophysical Prospecting (01-11-2020)
    “…ABSTRACT The elastic reverse time migration approach based on the vector‐wavefield decomposition generally uses the scalar product imaging condition to image…”
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  3. 3

    Instantaneous Frequency Extraction for Nonstationary Signals via a Squeezing Operator with a Fixed-Point Iteration Method by Li, Zhen, Gao, Zhaoqi, Sun, Fengyuan, Gao, Jinghuai, Zhang, Wei

    Published in Remote sensing (Basel, Switzerland) (01-04-2024)
    “…The instantaneous frequency (IF) is an important feature for the analysis of nonstationary signals. For IF estimation, the time–frequency representation…”
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  4. 4

    The Synchrosqueezed Method and Its Theory-Analysis-Based Novel Short-Time Fractional Fourier Transform for Chirp Signals by Li, Zhen, Gao, Zhaoqi, Chen, Liang, Gao, Jinghuai, Xu, Zongben

    Published in Remote sensing (Basel, Switzerland) (01-04-2024)
    “…Time–frequency analysis is an important tool used for the processing and interpretation of non-stationary signals, such as seismic data and remote sensing…”
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  5. 5

    Hybrid domain frequency controllable envelope inversion with lowrank approximation for long-wavelength velocity model building by Gao, Zhaoqi, Li, Chuang, Pan, Zhibin, Gao, Jinghuai, Xu, Zongben

    Published in Journal of applied geophysics (01-10-2022)
    “…Full waveform inversion (FWI) needs an accurate initial model to guarantee convergence. Time domain frequency controllable envelope inversion (FCEI) is capable…”
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  6. 6

    Seismic swarm intelligence inversion with sparse probability distribution of reflectivity by Wang, Zhiguo, Zhang, Bing, Gao, Zhaoqi, Gao, Jinghuai

    Published in Artificial intelligence in geosciences (01-12-2023)
    “…Seismic inversion, such as velocity and impedance, is an ill-posed problem. To solve this problem, swarm intelligence (SI) algorithms have been increasingly…”
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  7. 7

    A New Highly Efficient Differential Evolution Scheme and Its Application to Waveform Inversion by Gao, Zhaoqi, Pan, Zhibin, Gao, Jinghuai

    Published in IEEE geoscience and remote sensing letters (01-10-2014)
    “…In this letter, a new differential evolution (DE) algorithm is proposed and applied to waveform inversion. The traditional evolution strategy of this algorithm…”
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  8. 8

    A Sequential Iterative Deep Learning Seismic Blind High-Resolution Inversion by Chen, Hongling, Gao, Jinghuai, Gao, Zhaoqi, Chen, Daoyu, Yang, Tao

    “…Seismic blind high-resolution inversion (BHRI) aims at retrieving the high-resolution data to characterize the stratigraphic structures in the case of an…”
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  9. 9
  10. 10

    Adaptive Differential Evolution by Adjusting Subcomponent Crossover Rate for High-Dimensional Waveform Inversion by Pan, Zhibin, Wu, Junjie, Gao, Zhaoqi, Gao, Jinghuai

    Published in IEEE geoscience and remote sensing letters (01-06-2015)
    “…In this letter, a new adaptive differential evolution (DE) for high-dimensional waveform inversion is proposed. In conventional DE algorithms, individuals are…”
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    Journal Article
  11. 11

    Differential evolution with subpopulations for high‐dimensional seismic inversion by Pan, Zhibin, Liang, Hao, Gao, Zhaoqi, Gao, Jinghuai

    Published in Geophysical Prospecting (01-07-2018)
    “…ABSTRACT Seismic inversion has drawn the attention of researchers due to its capability of building an accurate earth model. Such a model will need to be…”
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  12. 12

    A review of the CAMx, CMAQ, WRF-Chem and NAQPMS models: Application, evaluation and uncertainty factors by Gao, Zhaoqi, Zhou, Xuehua

    Published in Environmental pollution (1987) (15-02-2024)
    “…With the gradual deepening of the research and governance of air pollution, chemical transport models (CTMs), especially the third-generation CTMs based on the…”
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  13. 13

    Adjoint-Driven Deep-Learning Seismic Full-Waveform Inversion by Zhang, Wei, Gao, Jinghuai, Gao, Zhaoqi, Chen, Hongling

    “…Seismic full-waveform inversion (FWI) aims to build high-resolution images of the physical properties of the subsurface. However, the ill-posedness and…”
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  14. 14

    Differential evolution algorithm with fitness and diversity ranking-based mutation operator by Cheng, Jianchao, Pan, Zhibin, Liang, Hao, Gao, Zhaoqi, Gao, Jinghuai

    Published in Swarm and evolutionary computation (01-03-2021)
    “…Differential evolution (DE) is a simple and efficient global optimization algorithm. Benefitting from its concise structure and strong search ability, DE has…”
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  15. 15

    Optimizing Seismic Facies Classification Through Differentiable Network Architecture Search by Gao, Zhaoqi, Wang, Kezheng, Wang, Zhiguo, Gao, Jinghuai

    “…Seismic facies classification involves assigning geological meaning to seismic amplitudes based on distinct sedimentary facies responses. Various deep learning…”
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  16. 16

    Elastic frequency controllable envelope inversion by Du, Qiu, Gao, Zhaoqi, Gao, Jinghuai

    Published in Journal of geophysics and engineering (18-11-2024)
    “…Abstract Although elastic full waveform inversion (EFWI) is considered a potent methodology that is capable of inverting the characteristics of subsurface…”
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  17. 17

    Improving the search accuracy of differential evolution by using the number of consecutive unsuccessful updates by Zou, Lifang, Pan, Zhibin, Gao, Zhaoqi, Gao, Jinghuai

    Published in Knowledge-based systems (17-08-2022)
    “…During the process of evolution, feedback information is frequently utilized to guide the following search and it has been proved to be very effective…”
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  18. 18

    Simultaneous Inversion for Reflectivity and Q Using Nonstationary Seismic Data With Deep-Learning-Based Decoupling by Xu, Linan, Gao, Zhaoqi, Hu, Sichao, Gao, Jinghuai, Xu, Zongben

    “…Building reflectivity and quality factor (Q) using nonstationary poststack seismic data is important for vertical resolution enhancement of seismic data and…”
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  19. 19

    Large-Dimensional Seismic Inversion Using Global Optimization With Autoencoder-Based Model Dimensionality Reduction by Gao, Zhaoqi, Li, Chuang, Liu, Naihao, Pan, Zhibin, Gao, Jinghuai, Xu, Zongben

    “…Seismic inversion problems often involve strong nonlinear relationships between model and data so that their misfit functions usually have many local minima…”
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  20. 20

    Automatic Seismic Lithology Interpretation via Multi-attribute Integrated Deep Learning by Pan, Lele, Gao, Jinghuai, Yang, Yang, Wang, Zhiguo, Gao, Zhaoqi

    Published in IEEE geoscience and remote sensing letters (06-06-2023)
    “…Seismic lithology interpretation based on seismic data is an important task to delineate oil and gas reservoirs. However, this is an extremely unstable work…”
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