性别

男

出生年月

198807

学位/职称

博士/教授

联系方式

19979822544

电子邮箱

laijialong@jxust.edu.cn

办公地点

明理楼512

导师简介

博士生导师，博士毕业于澳门科技大学月球与行星科学国家重点实验室，研究领域为人工智能，信号处理以及月球与行星探测中的遥感技术，包括理论建模、数值模拟、数据分析与验证、地球物理参数反演等以及机器学习在行星科学领域的应用。来校近5年主持国家自然科学基金项目 2项，其他省、市级项目6项，已在《Nature Communications》、《Geophysical Research Letters》、《Earth and Planetary Science Letters》等发表论文二十余篇，获Lunar and Planetary Science Conference，首届全国行星科学大会，第五届青年行星论坛等报告邀请。现任中国测绘学会深空探测遥感测绘工作委员会委员，《地球与行星物理论评(中英文)》期刊编委。

所授课程

本科课程

大学计算机基础，Java，计算机高级语言C等

研究生课程

计算理论导引，高级算法设计与分析，机器学习等

科研项目

[1]国家自然学科基金，项目名称：多源信息融合理论视角下嫦娥四号着陆区浅表层结构和介电特性研究，项目编号：12103020，主持，已结题。

[2]国家自然科学基金，项目名称：基于遥感数据的天问一号着陆区地质特征研究，主持，在研。

[3] 江西省自然科学基金，项目名称：多源数据融合的嫦娥三号探月雷达低频采样数据解译，主持，已结题。

[4] 2022年赣州市科技人才项目——青年人才项目，主持，已结题。

[5] 澳门已结题基金会项目，项目名称：嫦娥三号探测资料的科学分析，时间2015-2017，参与，已结题，获澳门自然科学奖一等奖。

学术成果

部分论文：

1.LShi,GLiu,JLai,X Ma, F Cui, X Zhang,YXu.2026.Seasonal-Spatial Distribution and Prevailing Wind Analysis of Martian Dust Devils in Amazonis Planitia Using a Multi-Scale Attention Network.SCIENCE CHINA Earth Sciences.

2.GLiu, LShi,JLai, FCui, XZhang,YXu. 2026.A Multiscale Attention Transformer for Martian Dust Devil Detection in Remote Sensing Imagery.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,19,2696-2712.

3.XMeng, LZhang, YXu, GIraklis, RBugiolacchi, JZhao, XZhang, QYang, RChen, RLiu, XXu, HCao, ZHuo, LXiao,JLai, RGao. 2026.Evidence of shallow subsurface ice at Tianwen-1 landing site,Earth and Planetary Science Letters,678,119832.

4.刘麒,符乐远,赖嘉龙.2026.测月雷达数据驱动的嫦娥四号着陆区研究综述.地球与行星物理论评(中英文),1-15.

5.X Zhang, J Lai, Z Chen, F Cui, Y Xu, X Zhang. 2025. DCMWAF-Net: Dual Cross-Modal Weighted Attention Feature Fusion Network for Multi-Scale Lunar Crater Detection. IEEE Transactions on Geoscienceand Remote Sensing, 63, 1-20.=0.611k

6.M Zhu,J Lai,X Zhang,YXu,W He. 2025.An Explainable CatBoost Model for Crater Classification Based on Digital Elevation Model.Remote Sensing, 17(7), 1236.

7.Z Zhong, J Lai, Y Zhong, Y Xu, F Cui. 2025.Enhancing lunar DEM data using super-resolution techniques and optimizing the faster R-CNN network for sub-kilometer crater detection. Icarus,430,116483.

8.X Zhang,J Lai, F Cui, C Ding, Z Zhong. 2025.A review of deep learning-based analyses of impact crater detection on different celestial bodies.Astronomical Techniques and Instruments,2, 127–147.

9.Y Zhong,JLai,X Ma,F Cui. 2025.Deep learning-based extraction of dielectric constants of shallow lunar soil.2025 5th International Symposium on Artificial Intelligence and Big Data, 1001 - 1007.

10.何蔚东，赖嘉龙，钟志成，崔飞飞，徐懿，张小平. 2025.MSFNet：一种利用数字高程模型和增强特征融合的月球撞击坑检测网络.深空探测学报(中英文)，2，190-204.

11.X Ma,J Lai,Z Zhong, F Cui. 2025.FERA-Net: A Novel Algorithm for Mars Water-Ice Cloud Segmentation Integrating Feature Enhancement, Residual, and Attention Mechanisms.IEEE Journal of Selected Topics in Applied Earth Observations and RemoteSensing, 18, 3797-3811.

12.J Deng, Y Qian, F Cui, Y Liu, J Lai. 2025.Research on lunar regolith of the Chang'E-4 landing site: An automated analysis method based on deep learning framework.Icarus,425, 116338.

13.L Zhang, X Meng, Y Qian, Y Xu, X Zhang, Z Liu,J Lai, RGao. 2024.A Flat-bottomed Buried Crater and Paleo-layered Structures Revealed at the Von Kármán Crater Using LunarPenetratingRadar.Astrophysical Journal Letters,L2, 978.

14.C Zou, J Lai, Y Liu, F Cui, Y Xu, L Qiao.2024.Small lunar crater identification and age estimationin Chang'e-5 landing area based on improved Faster R-CNN.Icarus,410,115909.

15.Y Liu, J Lai, M Xie, J Zhao, C Zou, F Cui , YQian , J Deng. 2024.Identification of Lunar Craters in the Chang'e-5 Landing Region Based on KaguyaTC MorningMap.Remote Sensing, 16, 344.

16.L Zhang, Y Xu, R Chen, H Wong,J Lai, X Meng, R Chen, Z Zeng, X Feng, C Liu. 2022.Calculation of dielectric constant,loss property and scattering characteristics from the future martian GPR data.Icarus, 386, 115181.

17.JLai, Y Xu, R Bugiolacchi, H Wong, L Xu, X Zhang, L Zhang, X Zhang, L Xiao, B Liu, K Di. 2021.A Complex Paleo-Surface Revealed by the Yutu-2 Rover at the LunarFarside.Geophysical Research Letters, 48, 20.

18.J Lai,F Cui,Y Xu,C Liu,L Zhang.2021.Dielectric Properties of Lunar Materials at the Chang'e-4 Landing Site.Remote sensing,4056,13.

19.L Xu, X Zhang, L Qiao,J Lai. 2021.EvaluatingtheThickness and Stratigraphy of Ejecta Materials at the Chang'e-4 Landing Site.The Astronomical Journal, 11pp, 162:29.

20.L Zhang, Y Xu, R Bugiolacchi, B Hu, C Liu,J Lai, Z Zeng, Z Huo. 2021.Rock abundance and evolution of the shallow stratum on Chang'e-4 landing site unveiled by lunar penetrating radar data.Earth and Planetary Science Letters, 564 , 116912.

21.JLai, Y Xu, R Bugiolacchi, X Meng, L Xiao, M Xie, B Liu, K Di, X Zhang, B Zhou, S Shen,L Xu.2020.First look by the Yutu-2 rover at the deep subsurface structure at the lunar farside.Nature Communications,3426,11.

22.J Lai, Y Xu, X Zhang, L Xiao, Q Yan,X Meng, B Zhou, Z Dong, D Zhao. 2019.Comparison of Dielectric Properties and Structure of Lunar Regolith at Chang'e-3 and Chang'e-4 Landing SitesRevealed by Ground-Penetrating Radar.Geophysical Research Letters. 46, 12783-12793.

23.J Lai, Y Xu, X Zhang, ZTang.2017.Lunar regolith stratigraphy analysis based on the simulation of lunar penetrating radar signals.Advances in Space Research, 60, 2099-2107.

24.J Lai,Y Xu, XZhang, Z Tang.2016.Structural Analysis of Lunar Subsurface with Chang'E-3 Lunar Penetrating Radar.Planetary and Space Science,120,96-102.