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Zhuo Jia
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2020 – today
- 2025
- [j19]Meijia Huang, Jieyong Liang, Pingbao Yin, Xuming Zhu, Zhuo Jia
:
SAU-GAN: A Shuffle Attention U-Net Generative Adversarial Network for GPR Inversion. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025) - [j18]Meijia Huang, Jieyong Liang, Ziyang Zhou, Xuelei Li, Zhijun Huo, Zhuo Jia
Enhanced Ground-Penetrating Radar Inversion With Closed-Loop Convolutional Neural Networks. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025) - [j17]Zhuo Jia
Enhanced Electrical Resistivity Tomography With Prior Physical Information. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025) - [j16]Wentian Wang, Wei Du
Advanced Adaptive Median Filter for Reducing Salt-and-Pepper Noise in GPR Data. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025) - [j15]Ziyang Zhou, Meijia Huang, Hong Xu
Deep Learning-Based Interpolation for Ground Penetrating Radar Data Reconstruction. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 6329-6335 (2025) - [j14]Meijia Huang, Yonghao Wang
Ground-Penetrating Radar Inversion via Steady-State Diffusion Processes. IEEE Trans. Geosci. Remote. Sens. 63: 1-9 (2025) - [j13]Zhuo Jia
Pole Transformation of Magnetic Data Using CNN-Based Deep Learning Models. IEEE Trans. Geosci. Remote. Sens. 63: 1-10 (2025) - 2024
- [j12]Yinshuo Li
Self-Supervised Knowledge-Driven Method for 3-D Magnetic Inversion. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j11]Hong Xu, Lvshen Zhao, Peiqi Jing, Jie Yan, Xuming Zhu, Zhuo Jia
Machine Learning-Enhanced Interpolation of Gravity-Assisted Magnetic Data. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j10]Hong Xu
Rock Layer Classification and Identification in Ground-Penetrating Radar via Machine Learning. Remote. Sens. 16(8): 1310 (2024) - [j9]Xianghao Liu
GPR Closed-Loop Denoising Based on Bandpass Filtering Constraints. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j8]Xiaoqing Shi
Deep Learning Inversion for Multivariate Magnetic Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-10 (2024) - [j7]Yonghao Wang
Physics-Driven Neural Network for Interval Q Inversion. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j6]Yonghao Wang
SEMI Net: Seismic-Electromagnetic Joint Inversion Network. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - 2023
- [j5]Zhuo Jia
Deep Learning for 3-D Magnetic Inversion. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - [j4]Zhuo Jia
Magnetotelluric Closed-Loop Inversion. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [i1]Yinshuo Li, Zhuo Jia, Wenkai Lu, Cao Song:
Self-Supervised Knowledge-Driven Deep Learning for 3D Magnetic Inversion. CoRR abs/2308.12193 (2023) - 2022
- [j3]Zhuo Jia
EMRNet: End-to-End Electrical Model Restoration Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j2]Yinshuo Li
Self-Supervised Deep Learning for 3D Gravity Inversion. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - 2021
- [j1]Xuelei Li, Zhuo Jia
Structural Characteristics of Moho Surface Based on Time Series Function of Natural Earthquakes. Remote. Sens. 13(4): 763 (2021)
2010 – 2019
- 2015
- [c4]Xiu Li, Jin Yu, Zhuo Jia, Huimin Wang:
Application of improved core vector machine in the prediction of algal blooms in Tolo Harbour. SNPD 2015: 57-62 - [c3]Xiu Li, Zhuo Jia, Jin Yu, Zhixiong Yang:
A sewage outfall management system based on WebGIS: Design and implement. SNPD 2015: 431-435 - 2014
- [c2]Xiu Li, Zhuo Jia, Jin Yu:
Research on Visualization of Ocean Environment Data Using ArcGIS. GRMSE 2014: 87-94 - [c1]Xiu Li, Jin Yu, Zhuo Jia, Jingdong Song:
Harmful algal blooms prediction with machine learning models in Tolo Harbour. SMARTCOMP 2014: 245-250
Coauthor Index
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