»姓名：许明明

»系属：遥感系

»学位：博士

»职称：副教授

»专业：测绘科学与技术

»导师类别：博导/硕导

»电子邮箱：xumingming@upc.edu.cn

»学术主页：https://www.researchgate.net/profile/Mingming-Xu-2

»通讯地址：青岛市黄岛区长江西路66号

中国石油大学（华东）海洋与空间信息学院 胜华大厦205A

»概况：

◎研究方向

高光谱遥感图像智能处理与应用

多源遥感数据融合

变化检测

湿地遥感

地质遥感

欢迎对遥感方向感兴趣、有追求、有目标的研究生加入团队！

◎教育经历（倒序）

2011.09-2016.06 武汉大学测绘遥感信息工程国家重点实验室，博士，导师：张良培教授、杜博教授（摄影测量与遥感）

2007.09-2011.06 中国石油大学（华东）地球科学与技术学院，学士（测绘工程）

◎工作经历（倒序）

2021.01-至今中国石油大学（华东）副教授（遥感系）

2021.01-2026.05中国石油大学（华东）副教授（测绘系）

2018.07-2020.12 中国石油大学（华东）讲师（测绘系）

2016.07-2018.06 中国石油大学（华东）师资博士后（地质资源与地质工程）

◎学术兼职

1.          2023山东省高等学校青创科技支持计划“湿地遥感监测创新团队”带头人

2.          客座编辑Guest editor: MDPI Journal of Remote Sensing

         https://www.mdpi.com/journal/remotesensing/special_issues/6Y4P605BV0   

3.          第六届地质、测绘与遥感国际会议（2025 6th International Conference on   Geology, Mapping and Remote Sensing (ICGMRS 2025)）技术委员会委员，https://www.icgmrs.com/committee2025

4.          2025和2026“智能自动化与系统安全”暨“自主无人系统”国际会议（ICAIS&ISAS 2025/2026）“遥感智能处理”专题副主席兼责任编辑，https://mp.weixin.qq.com/s/OEZafih5xOCNaVLK49q38g

5.          以下国际期刊审稿人：TNNLS、TIP、ISPRS、TGRS、JSTARS、GRSL、JAG、PR、Scientific Reports、Neural Networks、Neurocomputing、The Egyptian Journal of Remote Sensing and Space   Sciences、Photogrammetric Engineering &   Remote Sensing、Geocarto International、数字地球

6.          AAAI-19项目委员会成员

7.          国家自然科学基金委评议人

8.          IEEE Senior Member、中国图象图形学会（CSIG）会员、CSIG遥感专委会委员、中国测绘学会青年工作会委员

◎主讲课程

本科生课程：数字摄影测量

研究生课程：遥感探测原理

◎指导研究生

2021.09-2026.09 共指导硕士研究生25人，5人次获得国家奖学金，1人获得省优秀硕士毕业论文，1人获得校优秀硕士毕业论文。

◎承担项目

1.          2027.01-2030.12国家自然科学基金面上项目，NO.62671625，顾及立体混合效应的高光谱-LiDAR滨海湿地盐沼植被地上生物量反演方法研究，主持

2.          2021.01-2024.12国家自然科学基金面上项目，NO.62071492，基于非线性混合模型的潮间带柽柳高光谱亚像元信息提取研究，主持

3.          2018.01-2020.12 国家自然科学基金青年基金项目，NO.61701542，基于原型分析理论的端元束提取及端元可变光谱解混研究，主持

4.          2017.07-2019.12 山东省自然科学基金博士基金项目，NO.ZR2017BF038，量子理论驱动的高光谱图像端元提取技术研究，主持

5.          2016.07-2018.07 博士后基金面上项目，NO.2017M622309，基于原型分析的线性及非线性高光谱混合像元分解研究，主持

6.          2024.01-2025.12 自主创新科研计划项目（理工科），NO. 24CX07005A，多源遥感湿地信息提取，主持

7.          2024.05-2025.06，横向项目，山东省生态环境厅第三次海洋污染基线调查山东省海湾精细化调查项目，主持

8.          2019.08-2020.06，横向项目，海上溢油影响评估数据应用技术与平台研发，主持

9.          2025.11-2027.11，横向项目，高光谱遥感蚀变矿物亚像元信息提取技术研究，主持

10.      2020.01-2020.12，横向项目，近海海洋环境与极地海冰信息产品处理与分析软件，主持

11.      021.09-2022.09，横向项目，粤桂琼红树林遥感监测，主持-

◎获奖情况

2018.09，2018 WHISPERS最佳论文奖（1/5），IEEE GRSS，顾及光谱变化的原型分析端元束提取方法

2021.04，地理信息科技进步奖（7/12），基于空地一体倾斜摄影的地质露头精细建模技术与应用

2025.10，地理信息科技进步奖（1/10），近海生态环境典型要素光学遥感智能解译技术及应用

◎荣誉称号

2020.05，荣获“优秀青年工作者”荣誉称号，校团委

◎论文

近五年，发表论文80余篇，其中，第一/通讯作者论文如下：

2026年

1.          Mingming Xu, Jin Xu, Zhiru Yang*, Wei Li, Yonghao Xu, Shiqing Wei, Shanwei Liu, Bo   Du, and Zengmao Wang, Differentiable Clustering Graph Convolutional   Network for Hyperspectral Unmixing: Methodology and Benchmark, IEEE Transactions on Neural   Networks and Learning Systems, doi: 10.1109/TNNLS.2026.3698485.https://github.com/UPCGIT/DCGCN

2.          Mingming Xu*, Jiaqi Bi, Hongxia Zheng, Shanwei Liu, Hui Sheng, Yanni Dong and Bo Du,   A Prompt-Guided Transformer Network with Redundancy-Aware Endmember   Bundles Considering Spectral Variability for Hyperspectral Unmixing, IEEE Transactions on   Geoscience and Remote Sensing, doi: 10.1109/TGRS.2026.3715348. https://github.com/UPCGIT/PGT-Net

3.          Zhaoyu Wang, Mingming Xu*, Shanwei Liu*, Hongxia Zheng, Muhammad Yasir,   and Qinlong Tong, A Spatial-Spectral Component Representation Network   for Fine-Grained Mineral Classification in Hyperspectral Imagery, IEEE Journal of   Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 17111-17125, 2026, doi:   10.1109/JSTARS.2026.3689661.

4.          Hongxia Zheng, Fengqin Qi, Mingming Xu*, Hui Sheng, Shanwei Liu, Zhaoyu Wang and Qinlong Tong, DASNet:   Direction-Augmented and Sparsity-Adaptive Network for Hyperspectral Lithology   Classification, IEEE Journal of Selected Topics in Applied   Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2026.3719705.

5.          Mingming Xu, Qian Wang, Hongxia Zheng*, Ru Kong*, Shanwei   Liu, Hui Sheng and Zhongwei Li, Multi-Gaussian Prototype-Based   Background Modeling in Latent Space for Hyperspectral Anomaly   Detection, IEEE Journal of   Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2026.3710479

6.          Jin Xu, Mingming Xu*, Dan Zhao, Shanwei Liu, Hui Sheng and Qian   Shi, Multisource Feature Embedding Network for Joint Subpixel Mapping   of Hyperspectral and LiDAR Data, IEEE Journal of   Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 26588-26603, 2026. https://github.com/UPCGIT/MsFE-Net

7.          Xi Wang and Mingming Xu*, A High-Fidelity Pansharpening Network   via Multiscale Adaptive Detail Injection and Spectral Group Attention,   2026 Joint International Conference on Automation-Intelligence-Safety (ICAIS)   & International Symposium on Autonomous Systems (ISAS), Xuzhou, China,   2026, pp. 1-7.

2025年

1.          Mingming Xu*, Jin Xu, Shanwei   Liu, Hui Sheng, Biaoqun Shen and Ke Hou, Stationary Wavelet   Convolutional Network with Generative Feature Learning for Hyperspectral   Unmixing, IEEE Transactions on Geoscience and Remote   Sensing, vol. 63, pp. 1-13, 2025. (SCI 一区)  https://github.com/UPCGIT/SWC-Net

2.          Mingming Xu*, Xin Zou, Shanwei   Liu, Hui Sheng, Yanni Dong, “Multiscale Semantically Modulated Mixed   Convolutional Networks for Subpixel Mapping,” IEEE Transactions on   Geoscience and Remote Sensing, vol. 63, pp.   1-16, 2025, Art no. 5521816. (SCI 一区) https://github.com/UPCGIT/MSMCNet

3.          Mingming Xu*, Qianqian Zou,   Dan Zhao, Hengmao Xiang, Shiqing Wei, Shanwei Liu, Lin Li*, “Multisource   Adaptive Feature Enhancement and Fusion Network for Coastal Wetland   Classification With Hyperspectral and LiDAR Data,” IEEE Journal of   Selected Topics in Applied Earth Observations and Remote Sensing,vol. 18, pp.   27798-27813, 2025. (SCI 二区) https://github.com/UPCGIT/MsAF-EFN

4.          Jin Xu, Mingming Xu*, Shanwei Liu, and Hui Sheng, Band Mask   Network with Spatial-Spectral Fusion for Hyperspectral Unmixing, 2025   Joint International Conference on Automation-Intelligence-Safety (ICAIS)   & International Symposium on Autonomous Systems (ISAS), Xi'an, China,   2025, pp. 1-6.

2024年

1.          Jin Xu, Mingming Xu*, Shanwei Liu, Hui Sheng, and Zhiru Yang,   “Temperature scaling unmixing framework based on convolutional autoencoder,” International Journal of Applied Earth   Observation and Geoinformation, vol. 129, p. 103864, May 2024. (SCI 一区TOP) https://github.com/UPCGIT/TSUCAE

2.          Xin   Zou, Mingming Xu*, Shanwei   Liu and Hui Sheng, Superpixel-Based Graph Laplacian Regularized and   Weighted Robust Sparse Unmixing, IEEE Transactions on   Geoscience and Remote Sensing,   vol. 62, pp. 1-15, 2024, Art no. 5526415. (SCI 一区)

3.          Xinhao Li, Mingming Xu*, Shanwei Liu, Hui   Sheng and Jianhua Wan, Ultralightweight Feature-Compressed Multihead   Self-Attention Learning Networks for Hyperspectral Image   Classification, IEEE Transactions on Geoscience and Remote   Sensing, vol. 62, pp. 1-14, 2024, Art no.   5519214. (SCI 一区)

4.          Mingming   Xu*,   Jin Xu, Shanwei Liu, Hui Sheng, and Zhiru Yang, MultiScale   Convolutional Mask Network for Hyperspectral Unmixing, IEEE Journal of   Selected Topics in Applied Earth Observations and Remote Sensing, volume 129, May 2024, 103864. (SCI 二区)

5.          Mingming   Xu*,   Mingwei Liu, Shanwei Liu, and   Hui Sheng,   Dual-Branch Feature Interaction Network for Coastal Wetland   Classification Using Sentinel-1 and 2, IEEE Journal of   Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 14368-14379, 2024.

6.          Nan Zhou, Mingming Xu*, Biaoqun Shen, Ke Hou, Shanwei Liu and Hui   Sheng, ViT-UNet: A Vision Transformer Based UNet Model for Coastal   Wetland Classification Based on High Spatial Resolution Imagery, IEEE Journal of   Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp.   19575-19587, 2024. (SCI 二区)

7.          Mingming Xu*, Jinhao Zhang, Shanwei Liu, and Hui   Sheng. “Hyperspectral Anomaly Detection Based on Adaptive Background   Dictionary Construction and Collaborative Representation.” International Journal of Remote Sensing, vol. 45, no. 10, pp. 3349–3369, 2024.(SCI 三区)

8.          Mingming   Xu,   Xiaofang Zhu, Yanfen Liu*, Shanwei Liu, and Hui Sheng, “A multi-scale   context-aware and batch-independent lightweight network for green tide   extraction from SAR images,” International   Journal of Remote Sensing, vol. 45, no. 13, pp. 4474–4499,   2024.

9.          Xinhao Li, Mingming Xu*, Shanwei Liu, Hui   Sheng and Jianhua Wan, “Dual-input ultralight multi-head self-attention   learning network for hyperspectral image classification”, International Journal of Remote Sensing,   vol. 45, no. 4, pp. 1277-1303, 2024. (SCI 三区)

10.      Mengxue Jia, Mingming Xu*, Jianyong Cui, Shanwei Liu, Hui Sheng, and   Zhongwei Li, Coastal chlorophyll-a concentration estimation by fusion   of Sentinel-2 multispectral instrument and in-situ hyperspectral data, Journal of Applied   Remote Sensing, vol.18, no.4, 042602, 2024.

11.      许明明,刘航,窦庆文*,等.基于高光谱和 LiDAR 的黄河口湿地植被分类方法[J].遥测遥控,2024,45(03):102-113.

2023年

1.          Zhiru Yang, Mingming   Xu*,   Shanwei Liu, Hui Sheng and Jianhua Wan, UST-Net: A U-Shaped Transformer Network Using   Shifted Windows for Hyperspectral Unmixing, IEEE Transactions on Geoscience and Remote   Sensing, vol. 61, pp.   1-15, 2023, Art no. 5528815. (SCI 一区)

2.          Mingming   Xu*,   Xin Zou, Shanwei Liu, Hui Sheng and Zhiru Yang, Manifold Regularized   Sparse Archetype Analysis Considering Endmember Variability, IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5,   2023, Art no. 5506805.(SCI 三区)

3.          Zhiru Yang, Mingming Xu*, Shanwei Liu, Hui   Sheng and Hongxia Zheng, Spatial-Spectral Attention Bilateral Network   for Hyperspectral Unmixing, IEEE Geoscience and Remote Sensing Letters,   vol. 20, pp. 1-5, 2023, Art no. 5507505. (SCI 三区)

4.          Jianmeng Li, Hui Sheng*,Mingming Xu*, Shanwei Liu and   Zhe Zeng, BAMS-FE: Band-by-Band Adaptive Multiscale Superpixel Feature   Extraction for Hyperspectral Image Classification, IEEE Transactions on Geoscience   and Remote Sensing, vol. 61, pp. 1-15, 2023, Art no.   5517015.(SCI 一区)

5.          Jianhua Wan, Xianci   Wan, Lie Sun, Mingming Xu*,   Hui Sheng*, Shanwei Liu, Bin Zou, and Qimao Wang. “Ulva Prolifera subpixel   mapping with multiple-feature decision fusion,” Journal   of Oceanology and Limnology, 41, 865–880, 2023.(SCI 二区)

2022年

1.          Mingming   Xu*,   Zhiru Yang, Guangbo Ren, Hui Sheng, Shanwei Liu, Wei Liu, Chuanlong Ye, “L₁   Sparsity-Constrained Archetypal Analysis Algorithm for Hyperspectral   Unmixing”, IEEE Geoscience and   Remote Sensing Letters 2022,   19, 1-5, Art no. 6008605. (SCI 三区)

2.          Huayu Li, Jianhua Wan,   Shanwei Liu, Hui Sheng Mingming   Xu*, “Wetland Vegetation Classification through Multi-Dimensional   Feature Time Series Remote Sensing Images Using Mahalanobis Distance-Based   Dynamic Time Warping,” Remote Sensing,   vol. 14, 501, 2022.

3.          Dawei Wang, Jianhua   Wan, Shanwei Liu, Yanlong Chen, Muhammad Yasir, Mingming Xu*; Peng Ren, “BO-DRNet: An Improved Deep   Learning Model for Oil Spill Detection by Polarimetric Features from SAR   Images,” Remote Sensing, vol.14, 264,   2022. (SCI 二区)

4.          Zhongwei Li, Shunxiao   Shi, Leiquan Wang, Mingming Xu*,   Luyao Li, “Unsupervised Generative Adversarial Network with Background   Enhancement and Irredundant Pooling for Hyperspectral Anomaly Detection,” Remote Sensing.; vol. 14, no. 5, 1265,   2022.  (SCI 二区)

5.          Jianhua Wan, Lujuan Wu,   Shuhua Zhang, Shanwei Liu, Mingming   Xu*, Hui Sheng, and Jianyong Cui, Monitoring of Discolored   Trees Caused by Pine Wilt Disease Based on Unsupervised Learning with   Decision Fusion Using UAV Images, Forests,vol. 13, no. 11, 1884, 2022.

6.          Jianhua Wan, Jiajia Li,   Mingming Xu*, Shanwei Liu,   and Hui Sheng, Node-splitting optimized canonical correlation forest   algorithm for sea fog detection using MODIS data, Optics   Express, vol. 30, pp. 13810-13824, 2022. (SCI 二区)

7.           

◎专利

1.          许明明，杜博，张良培。一种基于量子粒子群的高光谱遥感影像端元提取方法，2018.06.19，ZL   201610157103.8

2.          杜博，许明明，张良培，张乐飞。一种高光谱遥感影像端元提取方法，2018.06.29，ZL 201610156222.1

3.          许明明，张燕，刘善伟。一种基于局部特征的低秩稀疏分解高光谱异常检测方法，2022.06.17，ZL 202010384573.4。

4.          许明明，杨志如，叶传龙，刘善伟。一种基于丰度稀疏约束的高光谱混合像元分解方法，2022.06.28，ZL 202111059245.8

5.          许明明，叶传龙，刘善伟。一种高光谱遥感影像端元束自动提取方法，2023.09.15，ZL   202111060895.4。

6.          许明明，祝晓芳，郑红霞，盛辉。一种多特征集成学习的双极化SAR影像浒苔提取方法，2022.12.02，ZL202211126727.5。

7.       许明明，贾梦雪，崔建勇，张伟，陈艳拢。一种Sentinel-2卫星影像重构的水体叶绿素a浓度反演方法，2024.09.10，ZL   202410888459.3。

更新日期：2026-09