吴波
发布时间: 2016-08-12 浏览次数: 9835

姓  名: 吴波

性  别: 男

出生年月:1975

最后学历:博士

职  称:教授

职务、兼职、荣誉称号

 曾为福建省遥感学会副秘书长,福建省重点学科地图学与地理信息系统学科带头人(遥感方向),担任ICSDM 2011 & BJ-IWGIS 2011/2015国际会议组委会委员,2011/2014环境健康遥感诊断国际学术研讨会委员。
 专业权威国际期刊
:IEEE TGRS, IJGIS, IJRS, Forests, CITIES;以及国内期刊:测绘学报,遥感学报,武大学报,中国图形图像学报等审稿人,IEEE学会会员。

教育经历:

博士, 2003-2006,武汉大学,测绘遥感信息工程国家重点实验室,摄影测量与遥感
硕士
, 2000-2003,中国地质大学(北京),地球科学与资源学院,摄影测量与遥感
本科
, 1994-1998,华东地质学院,测绘工程

研究方向:

1.遥感科学与技术:影像智能处理、资源环境遥感
2.地理信息科学:大数据与数据挖掘应用、GeoAI 
3.空间人文综合交叉:地理设计与城市计算、空间经济

工作经历:

教授,2017-, 江西师范大学地理与环境学院,博士生导师(地理信息)
研究员,
2015-2017,福州大学地理空间信息技术国家地方联合工程研究中心,博导(智能计算)
副研究员,
2009- 2015,福州大学数据挖掘与信息共享教育部重点实验室
博士后研究员,
2007-2008,香港中文大学地理与资源管理学系
助理研究员,
2006-2007,福州大学福建省空间信息工程研究中心
助理工程师,
1998-2000,山东省胶南市建设委员会

获奖情况:

2022年,高时空谱分辨率遥感影像的构建及其智能分析,江西省自然科学三等奖
2020年,时空多尺度数据融合的理论与方法,教育部高等学校优秀学术成果二等奖(自然科学奖)
2018年,高分辨率城市遥感信息提取方法与应用, 测绘科技进步一等奖。
2016年, 基于
Cramers-V离散化遥感影像特征提取与分类研究, 福建省自然科学优秀论文二等奖。
2014年,基于最大最小关联指数的遥感影像特征提取,福建省自然科学优秀论文二等奖。

主要论文、论著

 34. Wu Bo*, Yan Jinbiao, Cao Kai. L0-Norm Variable Adaptive Selection for Geographically Weighted Regression Model, Annals of the American Association of Geographers, 2023, DOI: 10.1080/24694452.2022.2161988

 33. Jianfeng Chen, Junsong Jia*, Lin Wang, Chenglin Zhong, Bo Wu. Carbon Reduction Countermeasure from a System Perspective for the Electricity Sector of Yangtze River Delta (China) by an Extended Logarithmic Mean Division Index (LMDI), Systems 2023,11(3):117. DOI: 10.3390/systems11030117

 32. Zheng He, Wu Bo*, Lin Hui, Jia Junsong*, Wei Heyi. Feasibility assessment of solar photovoltaic deployments on building surfaces with the constraint of visual impacts, Environment and Planning B Urban Analytics and City Science, 2022. DOI: 10.1177/23998083221142196

 31. Lingling Guo, Shun Li, Zhiwei Wu*, Russell A. Parsons, Shitao Lin, Bo Wu , Long Sun. Assessing spatial patterns and drivers of burn severity in subtropical forests in Southern China based on Landsat 8, Forest Ecology and Management 2022, 524(3):120515. DOI: 10.1016/j.foreco.2022.120515

 30. Wu Bo*, Zheng he, Xu Zelong, Wu Zhiwei, Zhao Yindi. Forest Burned Area Detection Using a Novel Spectral Index Based on Multi-Objective Optimization, Forests2022.

 29. Zhenxu Zhang, Junsong Jia*, Yali Guo, Bo Wu, Chundi Chen. Scenario of carbon dioxide (CO2) emission peaking and reduction path implication in five northwestern provinces of China by the low emissions analysis platform (LEAP) model, Frontiers in Energy Research, 2022, DOI: 10.3389/fenrg.2022.983751

 28. Zheng He, Wu Bo*, Zhang Jinmu, Yan Jinbiao, Wei Heyi, Refining the Potential Visual Exposure Index for the Assessment of Residential Visual Privacy: A Three-Dimensional Study, Journal of Asian Architecture and Building Engineering, 2022, DOI: 10.1080/13467581.2022.2085724

 27. Wu Bo*, Yan Jinbiao, Lin Hui. A cost-effective algorithm for calibrating multiscale geographically weighted regression models, International Journal of Geographical Information Science, 2022, Vol. 36, No. 5, 1186–1204.

 26.Zheng He, Wu Bo*, Wei Heyi, Yan Jinbiao, Zhu JA Quantitative Method for Evaluation of Visual Privacy in Residential EnvironmentsBuildings, 2021, 11(7), 272; https://doi.org/10.3390/buildings11070272.

 25.Xin Lele,Jia Junsong, Hu Wenhui,Zeng Huiqing,Chen Chundi,Wu Bo, Decomposition and Decoupling Analysis of CO2 Emissions Based on LMDI and Two-Dimensional Decoupling Model in Gansu Province, China,International Journal of Environmental Research and Public Health 2021,18(11):6013 DOI: 10.3390/ijerph18116013

 24.Wu Bo*, Wu Xianyu, Wu Yiren, Zhang Qiang, Enhancement of Water Index Feature of Satellite Image in Mountainous Areas with Slope Information,Journal of the Indian Society of Remote Sensing,2021,49(6):1109–1120 DOI: 10.1007/s12524-021-01307-8

 23.Zhao Yindi, Wu Bo*, A Framelet-Based SFIM Method to Pan-Sharpen THEOS Imagery,Journal of the Indian Society of Remote Sensing, 2019, 47(10):1417–1429. DOI: 10.1007/s12524-019-01006-5

 22.Cao K. Diao M., and Wu B. *, A Big Data Based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore, Annals of the American Association of Geographers,2019,109(1):173-386. DOI:10.1080/24694452.2018.1470925

 21.  Liu X., Yu L., Zhong L., Hao P., Wu B., Wang H., Yu C, Gong P., Spatial-temporal patterns of features selected using random forests: a case study of corn and soybeans mapping in the US, International Journal Remote Sensing, 2019, 41(1): 269-283. DOI:10.1080/01431161.2018.1512769.

 20. Wu Bo, Zhang Jinmu, Zhao Yindi, A Novel Method to Extract Narrow Water Using a Top-Hat White Transform Enhancement Technique,Journal of the Indian Society of Remote Sensing, 2019, 47(3):391-400.DOI: 10.1007/s12524-018-0910-z       

 19. Huang XinZhu ZerunLi YanshengWu Bo,  Yang Ying, Tea Garden Detection from High-Resolution Imagery Using a Scene-Based FrameworkPhotogrammetric Engineering & Remote Sensing2018, 84(11):723-731.DOI: 10.14358/PERS.84.11.723

 18. Wu B.*, Huang B., and Cao K., Zhuo G., Spatiotemporal reflectance fusion using image inpainting and steering kernel regression techniques, International Journal of Remote Sensing, 201738(3): 706-727. DOI:10.1080/01431161.2016.1271471

 17. Wu B.*, Zhu Y., Huang X., and Li J. Generalization of Spectral Fidelity with Flexible Measures for Sparse Representation Classification of Hyperspectral images, International Journal of Applied Earth Observation and Geoinformatics, 2016, 52(10):276-283. DOI: 10.1016/j.jag.2016.06.006

 16. Wu B.*, Fang C., Yu L., and Huang X., A fully automatic method to extract rare earth mining area from Landsat Image, Photogrammetric Engineering & Remote Sensing2016, 829):55-64. DOI:10.14358/PERS.82.9.729

 15. Yu L.*, Fu H., Wu B., Clinton N., and Gong P., Exploring the potential role of feature selection in global land cover mapping, International Journal Remote Sensing, 2016, 37(23): 5491-5504.DOI:10.1080/01431161.2016.1244365

 14. Wu B*, Huang B., Zhang L., An Error Bound Regularized Sparse Coding for Spatiotemporal Reflectance Fusion, IEEE Transactions on Geoscience and Remote Sensing, 2015, 5312):6791-6803.DOI: 10.1109/TGRS.2015.2448100

 13. Wu B*, Fu Q., Sun L. and Wang X., Enhanced hyper spherical color space fusion technique preserving spectral and spatial content, Journal of Applied Remote Sensing, 2015, 9.DOI: 10.1117/1.JRS.9.097291.

 12. Wu B.*, Zhang L., Zhao Y., Feature Selection via Cramer’s V-test Discretization for Remote Sensing Image Classification, IEEE Transaction on Geoscience and Remote Sensing, 201452(4): 2593-2602. DOI:10.1109/TGRS.2013.2263510

 11. Wu B., Li R., Huang B*. A Geographically and Temporally Weighted Autoregressive Model with Application to Housing Price, International Journal of Geographical Information Science, 2014, Vol. 28, No. 5, 1186–1204.DOI: 10.1080/13658816.2013.878463

 10. Wu B*., Chen CC, Tahar KT. Sun L., A comparative evaluation of filter-based feature selection methods for hyper-spectral bands selection, International Journal of Remote Sensing2013,34(22): 7974-7990. DOI: 10.1080/01431161.2013.827815

 9. Wu B*., Wang, X., Shen, H., and Zhou X., Feature selection based on max-min- associated indices for classification of remotely sensed imagery, International Journal of Remote Sensing, 20123317):5492-5512. DOI:10.1080/01431161.2012.663111

 8.Shen H, Liu Y, Ai T*, and Wu B., Universal Reconstruction Method for Quality Improvement of Remote Sensing Images, International Journal of Applied Earth Observation and Geoinformation, 2010,12(4):278-286. DOI: 10.1016/j.jag.2010.04.002

 7. Huang B*., Wu B., and Barry T., Geographically and Temporally Weighted Regression for modeling spatiotemporal variation in house prices. International Journal of Geographical Information Science, 2010,24(3):383-401. DOI:10.1080/13658810802672469

 6.Huang B*, Xie C, and Wu B, Land use change modeling using unbalanced support vector machines. Environment and Planning B Urban Analytics and City Science, 200936(3), 398 – 416. DOI:10.1068/b33047

 5. Wu B*., Huang B., and Fung T. Projection of Land Use Change Patterns using Kernel Logistic Regression, Photogrammetric Engineering & Remote Sensing, 2009, 75(8):971-979. DOI:10.14358/PERS.75.8.971

 4. Wu B*., Xiong Z., Chen Y., and Zhao Y., Classification of Quick Bird Image with Maximal Mutual Information Feature Selection and Support Vector Machine, Procedia Earth and planetary Science, 20091(1):1165-1172. DOI: 10.1016/j.proeps.2009.09.179

 3. Huang B.*, Zhang L. and Wu B., Spatiotemporal analysis of rural-urban land conversionInternational Journal of Geographical Information Science. 2009, 23(3): 379-398. DOI:10.1080/13658810802119685

 2. Zhang L*., Wu B., Huang B., Nonlinear Estimation of Subpixel Proportion via Kernel Least Square Regression, International Journal of Remote Sensing, 2007, 289: 1316-1328. DOI:10.1080/01431160600993454

 1. Wu B*., Zhang L., Li P., Nonlinear Estimation of Hyperspectral Mixture Pixel Proportion Based on Kernel Orthogonal Subspace Projection. Lecture Notes in Computer Science, 2006,1070-1075. DOI:10.1007/11759966157

中文期刊

 14.颜金彪,吴波,何清华,顾及各向异性的多参数协同优化IDW插值方法.测绘学报, 2021, 50(5): 675-684.EI

 13.颜金彪,吴波,彭馨, 顾及Gestalt邻近与简化原则的平面点集形状重建,测绘学报,2020,49(11):1485-1496EI

 12.朱欣然, 黄长平,吴波,苏华,焦文哲,张立福,顾及空间非平稳特征的遥感干旱监测,遥感学报,2019,233):487-500.EI

 11.卓国浩,吴 波,朱欣然,一种自适应三维核回归的遥感时空融合方法,,武汉大学学报.信息科学版, 2018, 43(4): 563-570EI

 10.吴波*,熊助国.基于光谱多尺度分割特征的混合像元分解,测绘学报,2012年第2,(EI)

 9.赵银娣,杜会建,吴波.基于CBERS CCD数据的鹿洼煤矿塌陷区LUCC检测,中国科学. E辑信息科学,2011, 4111):128-139

 8.吴波,袁春.非线性混合像元分解的可视化分析与评价,中国图象图形学报.2010, 15(1):167-173

 7.吴波,汪小钦,张良培.基于总体最小二乘的端元光谱自动提取的迭代分解,武汉大学学报.信息科学版, 2008, 33(5): 457-460EI

 6.黄波,吴波,刘彪,曹凯.空间智能:地理信息科学的新进展,遥感学报, 2008125: 766-771

 5.吴波,张良培,李平湘.基于支撑向量机概率输出的高光谱影像混合像元分解,武汉大学学报.信息科学版, 2006, 31(1): 50-53EI

 4.吴波,张良培,李平湘.基于支撑向量回归的高光谱混合像元非线性分解,遥感学报,2006,103: 186-193

 3.吴波,张良培,李平湘.基于光谱维小波特征的高光谱混合像元投影迭代分解,电子学报,2005,33(11):1933-1936EI

 2.吴波,张良培,李平湘.高光谱端元自动提取的迭代分解方法,遥感学报,2005, 9(3): 286-293

 1.吴波,张良培,李平湘.非监督正交子空间的高光谱混合像元自动分解,中国图象图形学报.2004, 9(11): 1392-1396.

发明专利

5. 吴波,朱勇.一种自定步长学习的遥感影像半监督分类方法,ZL 201510788769.9.

4. 吴波,曹森茂.一种基于Cramers’V指数的遥感影像特征选择方法, ZL 201210419609.3.

3.江洪,汪小钦,吴波.一种新的TAVI组合算法,ZL201610648417.8

2.吴波,颜金彪,吴志伟,张金牡.一种平面点集形状重建方法、装置及电子设备,CN202010620338.2

1.吴波,颜金彪,林珲.一种地学数据多参数协同优化的IDW插值方法,CN202011033223.X

科研项目:

16.国家自然科学基金(2020-2023), 基于指数分布族稀广义时空地理加权回归模型与方法, No41961055

15.国家自然科学基金(2016-2019),基于稀疏转换学习的遥感影像时空融合模型与方法研究, No41571330

14.国家自然科学基金(2015-2017,抗植被物候影响的中等分辨率密集时序遥感数据构建, No41401488

13.福建省自然科学基金(2015-2017),基于结构化稀疏表达模型的遥感影像时空融合方法研究 , No2015J1163

12.国家攻关或国家科技支撑计划子课题(2013-2015,南方红壤水土流失治理技术研究与示范, No2013BAC08B01

11.科技部政府间国际合作项目(2013-3014)结合无人飞行系统(UAS)和地面LiDAR数据的城市三维环境建模

10.香港RGC项目(2012-2015), Spatiotemporal image fusion for monitoring fast-changing land cover dynamics, NoCUHK444612

9.福建省重点科技项目(2012-2014,基于多尺度时序遥感数据的赤潮监测与预警, No2012Y0047

8.福建省重点科技项目(2011-2013),基于光学和雷达数据的福建省滨海湿地遥感监测,分析与调控研究 , No2013Y036

7.福建省自然科学基金(2010-2012),基于限制性能量最小的遥感影像超分辨制图研究, No2010J01251

6.国家自然科学基金(2009-2011),顾及端元可变与空间相关的混合像元扩展模型研究, No40801181

5.国家自然科学基金(2009-2011),基于场模型的自适应空间聚类方法研究, No40871206

4.福建省重点科技项目(2007-2009),镇域人居环境高分辨率遥感评价方法与应用示范, No2013Y021

3.福建省自然科学基金(2007-2009),基于非负矩阵分解的高光谱混合像元自动分解, No2010J0128

2.国家重点基础研究发展计划973项目子课题(2006-2008),高空间分辨率遥感影像自适应数据挖掘方法研究, No. 2006CB708306

1.国家自然科学面上基金(2005-2007), 基于人工免疫系统的高光谱遥感影像智能化处理的理论与方法, No. 40471088

联系方式

通信地址江西省南昌市紫阳大道99

办公地点:江西师范大学瑶湖校区方荫楼2(地理与环境学院)

邮  编330022

Email:wavelet778@sohu.com; wubo@jxnu.edu.cn

QQ: 82230965