王雷光，男，工学博士，教授，地图学与地理信息系统、系统科学硕士生导师，森林经理学博士生导师，入选云南省中青年学术与技术带头人后备人才，云南省****青年拔尖人才。主要研究方向为高空间分辨率、高光谱遥感影像融合、信息提取和林业应用。主要承担《遥感数字图像处理》、《遥感模式识别》、《人工智能》等地理信息科学、计算机科学相关专业的本科、研究生和留学生课程。近年来，主持国家自然科学基金3项，云南省科技厅基础研究面上项目1项。发表三大检索收录论文30余篇。担任遥感学报编委，IEEE TGRS，IEEE JSTARS，IEEE GRSL，PE&RS，光谱学与光谱分析，中国图像图形学报、电子学报等国内外期刊杂志的审稿工作。国家自然科学基金青年、地区和面上项目评议人。
热忱欢迎对高分辨率影像处理算法开发、遥感林业应用有研究兴趣，测绘、地信、林学、计算机相关专业背景的本科生加入研究小组！
Email：wlgbain@126.com; ????????????????Tel:
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近年发表代表性文章列表 (*通讯作者)
[1] ZHENG C, ZHANG Y, WANG L*, Multigranularity multiclass-Layer Markov Random Field model for semantic segmentation of remote sensing images [J]. IEEE Transactions on Geoscience and Remote Sensing. DOI:10.1109/TGRS.2020.**
[2]?? FENG B, ZHENG C, ZHANG W, WANG L*, YUE C*. Analyzing the role of spatial features when cooperating hyperspectral and LiDAR data for the tree species classification in a subtropical plantation forest area [J]. Journal of Applied Remote Sensing, 2020, 14(2): 022213. DOI: 10.1117/1.JRS.14.022213.
[3]?? 代沁伶, 罗斌, 郑晨, 王雷光. 区域多尺度马尔可夫随机场的遥感影像分类 [J]. 遥感学报, 2020, 24(3): 245-253.
[4]?? ZHENG C, WANG L*, CHEN X. A Hybrid Markov Random Field Model With Multi-Granularity Information for Semantic Segmentation of Remote Sensing Imagery [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(8): 1-13. DOI: 10.1109/JSTARS.2019.**.
[5]?? DAI Q, LUO B, WANG L, TU Z. Context adaptive panchromatic band simulation and detail injection for image pansharpening [J]. Journal of Applied Remote Sensing, 2018, 12(01): 1. DOI: 10.1117/1.JRS.12.015018.
[6]?? ?????? 王雷光, 曹小汪, 郑雅兰, 代沁伶. 高光谱影像的引导滤波多尺度特征提取 [J]. 遥感学报, 2018, 22(2): 293-303. DOI: 10.11834/jrs.**.
[7]?? ?????? ZHENG Y, DAI Q, TU Z, WANG L*. Guided Image Filtering-Based Pan-Sharpening Method: A Case Study of GaoFen-2 Imagery [J]. ISPRS International Journal of Geo-Information, 2017, 6(12): 404.
[8]?? ?????? ZHENG C, ZHANG Y, WANG L. Semantic Segmentation of Remote Sensing Imagery Using an Object-Based Markov Random Field Model With Auxiliary Label Fields [J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(5): 3015-3028. DOI: 10.1109/TGRS.2017.**.
[9]?? ?????? XIE C, HUANG X, WANG L, FANG X, LIAO W. Spatiotemporal change patterns of urban lakes in China’s major cities between 1990 and 2015 [J]. International Journal of Digital Earth, 2017, 1-18. DOI: 10.1080/**.2017.**.
[10] ?????? WANG L, HUANG X, ZHENG C, ZHANG Y. A Markov random field integrating spectral dissimilarity and class co-occurrence dependency for remote sensing image classification optimization [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 128(223-239. DOI: http://dx.doi.org/10.1016/j.isprsjprs.2017.03.020.
[11] ?????? ZHENG C, ZHANG Y, WANG L. Multilayer semantic segmentation of remote-sensing imagery using a hybrid object-based Markov random field model [J]. International Journal of Remote Sensing, 2016, 37(23): 5505-5532. DOI: 10.1080/**.2016.**.
[12] ?????? WANG L, DAI Q, HUANG X. Spatial regularization of pixel-based classification maps by a two-step MRF method; proceedings of the IGARSS 2016 – 2016 IEEE International Geoscience and Remote Sensing Symposium, F, 2016 [C].
[13] ?????? ZHENG C, WANG L. Semantic Segmentation of Remote Sensing Imagery Using Object-Based Markov Random Field Model With Regional Penalties [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(5): 1924-1935. DOI: 10.1109/JSTARS.2014.**.
[14]??????? WANG L, DAI Q, XU Q, ZHANG Y. Constructing Hierarchical Segmentation Tree for Feature Extraction and Land Cover Classification of High Resolution MS Imagery [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(5): 1946-1961. DOI: 10.1109/JSTARS.2015.**.
[15] ?????? ZHENG C, WANG L*, ZHAO H, CHEN X. Urban area detection from high-spatial resolution remote sensing imagery using Markov random field-based region growing [J]. Journal of Applied Remote Sensing, 2014, 8(1): 083566-083566. DOI: 10.1117/1.JRS.8.083566.
[16]??????? WANG L, LIU G, DAI Q. Optimization of Segmentation Algorithms Through Mean-Shift Filtering Preprocessing [J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(3): 622-626. DOI: 10.1109/LGRS.2013.**.