»姓名：许明明

»系属：测绘系

»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号工科E1318

中国石油大学（华东）海洋与空间信息学院

»概况：

◎研究方向

高光谱遥感图像智能处理与应用

混合像元分解

湿地遥感

多源遥感数据融合

◎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（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、以下国际期刊审稿人：TNNLS、TGRS、JSTARS、GRSL、JAG、Scientific   Reports、Neural   Networks、Neurocomputing、PLOS ONE、The Egyptian   Journal of Remote Sensing and Space Sciences、Photogrammetric   Engineering & Remote Sensing、Geocarto   International

5、AAAI-19项目委员会成员

6、国家自然科学基金委评议人

7、IEEE Senior   Member

◎主讲课程

数字摄影测量、摄影测量实习

◎指导研究生

2021.09-2025.12   共指导硕士研究生15名，4人次获得国家奖学金，1人获得校优秀硕士毕业论文，学生名单如下：

硕2021：杨志如、祝晓芳、刘航

硕2022：邹鑫、贾梦雪、刘明威、张金淏

硕2023：许津、王玺、张豪闯、邹倩倩

硕2024：姬玉超、赵春蓉、王茜、章越洋

欢迎对遥感处理与应用方向感兴趣、有追求、有目标的研究生加入团队！

◎承担项目

1.          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

2.          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

3.          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

4.          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

5.          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

6.          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

7.          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

8.          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

9.          2021.09-2022.09，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（7/14），基于空地一体倾斜摄影的地质露头精细建模技术与应用

◎荣誉称号

2020.05，荣获“优秀青年工作者”荣誉称号，校团委

◎著作

◎论文

近五年，发表论文60余篇，其中，第一/通讯作者论文如下：

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)

2024年

2.          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)

3.          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)

4.          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)

5.          Mingming   Xu*, Jin Xu, Shanwei Liu, Hui Sheng,   and Zhiru Yang, Multi-Scale   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)

6.          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. (SCI 二区)

7.          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)

8.          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)

9.          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. (SCI 三区)

10.      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)

11.      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.

12.      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

13.      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)

14.    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)

15.    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)

16.      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)

17.      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

18.    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)

19.      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.

20.      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.

21.      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.  

22.      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.

23.      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.

2021年

24.      Xiaofei Guo, Jianhua   Wan; Shanwei Liu, Mingming Xu*,   Hui Sheng, H.; Muhammad Yasir, “A scSE-LinkNet Deep Learning Model for   Daytime Sea Fog Detection,” Remote Sensing,   vol. 13, 5163, 2021. (SCI 二区)

25.    Xianci   Wan, Jianhua Wan*, Mingming Xu*,   Shanwei Liu，Hui Sheng*, Yanlong   Chen, and Xiyuan Zhang. “Ulva Prolifera subpixel mapping with   multiple-feature decision fusion,” IEEE Journal of Selected   Topics in Applied Earth Observations and Remote Sensing, vol.   14, pp. 9306-9317, 2021. (SCI 二区)

26.      Chuanlong Ye, Shanwei Liu*;Mingming   Xu, Bo Du,   Jianhua Wan, and Hui Sheng, “An Endmember Bundle Extraction Method Based on   Multiscale Sampling to Address Spectral Variability for Hyperspectral   Unmixing,” Remote Sensing, vol. 13, 3941, 2021. (SCI 二区)

2020年及以前

27.      Mingming   Xu*, Yan Zhang, Yanguo   Fan, Yanlong Chen and Dongmei Song, “Linear spectral mixing model guided   artificial bee colony method for endmember generation,” IEEE   Geoscience and Remote Sensing Letters, vol. 17, no. 12, pp.   2145-2149, 2020. (SCI 二区)

28.      Yan Zhang, Yanguo Fan*   and Mingming Xu*, A   background-purification-based framework for anomaly target detection in   hyperspectral imagery, IEEE Geoscience   and Remote Sensing Letters. vol. 17, no. 7, pp. 1238-1242,   July 2020.  (SCI 二区)

29.      Yan Zhang, Yanguo Fan*, Mingming Xu*, Wei Li, Guangyu   Zhang, Li Liu, and Dingfeng Yu, An improved low rank and sparse matrix   decomposition-based anomaly target detection algorithm for hyperspectral   imagery, IEEE Journal of Selected Topics in Applied Earth   Observations and Remote Sensing, vol. 13, pp. 2663-2672, 2020. (SCI 二区)

30.      Mingming Xu, Bu Du* and   Yanguo Fan, Endmember Extraction from Highly Mixed Data Using Linear   Mixture Model Constrained Particle Swarm Optimization, IEEE Transactions on Geoscience and Remote   Sensing, vol. 57, no. 8, pp. 5502-5511, 2019. (SCI 一区)

◎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：2025-02