张立强（教授）
学术兼职
中国遥感应用协会人工智能遥感解译专业委员会副主任委员(2020-)
资源环境与灾害监测山西省重点实验室学术委员会委员(2018-)
国际数字地球学会中国国家委员会激光雷达专委会副主任委员 (2016-)
Associate Editor：
IEEE Journal of Selected Topics in Applied Earth Observations andRemote Sensing (2020-)
IEEE Journal of Miniaturized Air and Space Systems (2019-)
Editorial Board Member：
International Journal of Applied Earth Observation andGeoinformation (2021-)
Land 'Land Systems and Global Change' Section (2021-)
遥感学报 (2020-)
地理与地理信息科学 (2016-)
研究方向
GIS时空分析、遥感图像/点云处理等
获奖情况
国家杰出青年科学基金（2019）
北京市优秀人才（2009）
教育部新世纪优秀人才（2007）
日内瓦国际发明展金奖（2018，排名第一）
测绘科技进步奖一等奖（2016，排名第一）
美国摄影测量与遥感协会(ASPRS)最佳学术论文奖（2015）
“人工智能最高奖”吴文俊人工智能科学技术创新奖一等奖（2015，个人奖励，当年唯一一项）
主要工作
先后破格晋升为副教授、教授。建立了遥感大数据分割、分类、目标探测和三维重建一体的智能处理技术体系，研究成果先后以第一作者/通讯作者发表在Nature Communications、Nature Sustainability（封面论文）、IJGIS、ISPRSJ. Photogramm. Remote Sens.、IEEE TVCG/TMM/TGRS、ICCV等国际著名学术期刊和计算机视觉顶级国际会议上，被Nature、Science和PNAS等国际顶级学术期刊他引，授权发明专利10项（第一发明人），研发的模型与技术获得了重要的应用。
学术成果
Selected papers（*Corresponding author）
[1] Fangyu Liu, Shuaipeng Li, LiqiangZhang*, Chenghu Zhou*, Rongtian Ye, Jiwen Lu. 3DCNN-DQN-RNN:A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds. IEEE International Conference on Computer Vision (ICCV), 2017, pp. 5678-5687.
[2] Rongtian Ye, Fangyu Liu, Liqiang Zhang*. 3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks. Canadian AI 2019: Advances in Artificial Intelligence, pp 186-199.
1.2 International journal papers
2020年
[1] Yun Cao, Yuebin Wang, JunhuanPeng, Liqiang Zhang, Linlin Xu, KaiYan, Lihua Li, 2020. DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval. IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2020.2991545.
[2] X. Li, Y. Wang, L. Zhang, S. Liu*, J. Mei and Y. Li, 2020.Topology-Enhanced Urban Road Extraction via a Geographic Feature-Enhanced Network. IEEE Transactions on Geoscience and Remote Sensing, doi:10.1109/TGRS.2020.2991006.
[3] Panpan Zhu, Yumin Tan*, Liqiang Zhang*, Yuebin Wang, JieMei, Hao Liu, Mengfan Wu, 2020. Deep Learning for Multilabel RemoteSensing Image Annotation With Dual-Level Semantic Concepts. IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2019.2960466.
[4] Li Liu, Yuebin Wang*, Junhuan Peng, Liqiang Zhang, Bing Zhang, Yun Cao, 2020. Latent Relationship Guided Stacked Sparse Autoencoder for Hyperspectral Imagery Classification. IEEE Transactions on Geoscience and Remote Sensing, 58(5), 3711 –3725.
[5] Yuebin Wang, Liqiang Zhang*, Feiping Nie, Xingang Li, Zhijun Chen and Faqiang Wang, 2020. WeGAN: Deep Image Hashing with Weighted Generative Adversarial Networks. IEEE Transactions on Multimedia, 22(6),1458-1469, DOI 10.1109/TMM.2019.2947197.
[6] Li Liu, Yuebin Wang, Junhuan Peng, Liqiang Zhang, Bing Zhang, Yun Cao, 2020. Latent Relationship Guided Stacked Sparse Autoencoder for Hyperspectral Imagery Classification. IEEE Transactions on Geoscience and Remote Sensing, 58(5), 3711 – 3725.
[7] Yuebin Wang, Xun Zhou, Honglei Yang, Liqiang Zhang*, Suhong Liu, Faqiang Wang, Xingang Li, P. Takis Mathiopoulos, 2020. Supervised High-Level Feature Learning With Label Consistencies for Object Recognition. IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2019.2955557.
2019年
[8] Liqiang Zhang*, Weiwei Liu*,Kun Hou, Jintai Lin*, Chenghu Zhou*, Xiaohua Tong, Ziye Wang, Yuebin Wang,Yanxiao Jiang, Ziwei Wang, Yibo Zheng, Yonglian Lan, Suhong Liu, Ruijing Ni,Mengyao Liu, Panpan Zhu, 2019. Air pollution-induced missed abortion risk for pregnancies. Nature Sustainability, 2, 1011–1017. DOI: https://doi.org/10.1038/s41893-019-0387-y.
[9] Liqiang Zhang*, Weiwei Liu, KunHou, Jintai Lin, Changqing Song, Chenghu Zhou, Bo Huang, Xiaohua Tong, JinfengWang, William Rhine, Ying Jiao, Ziwei Wang, Ruijing Ni, Mengyao Liu, Liang Zhang, Ziye Wang, Yuebin Wang, Xingang Li, Suhong Liu & Yanhong Wang, 2019.Air pollution exposure associates within creased risk of neonatal jaundice. Nature Communications, 10, Article number: 3741, 1-9.
[10] Jie Mei, YuebinWang, Liqiang Zhang*, Bing Zhang,Suhong Liu, Panpan Zhu, and Yingchao Ren, 2019. PSASL: Pixel-Level and Superpixel-Level Aware Subspace Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing,57(7), 4278 – 4293.
[11] Yuebin Wang, JieMei, Liqiang Zhang*, Bing Zhang,Panpan Zhu, Yang Li, Xingang Li, 2019. Self-Supervised Feature Learning With CRF Embedding for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 57(5), 2628 - 2642.
2018年 [12] Panpan Zhu, Liqiang Zhang*, Yuebin Wang, Jie Mei,Guoqing Zhou, Fangyu Liu, Weiwei Liu, P. Takis Mathiopoulos, 2018. Projectionlearning with local and global consistency constraints for scene classification. ISPRS Journal ofPhotogrammetry and Remote Sensing, 144, 202-216.
[13] Zhen Wang,Liqiang Zhang, Liang Zhang, Roujing Li, Yibo Zheng, Zidong Zhu, 2018. A DeepNeural Network With Spatial Pooling (DNNSP) for 3-D Point Cloud Classification. IEEE Transactions on Geoscience and Remote Sensing, 56(8), 4594 – 4604.
[14] Yuebin Wang, JieMei, Liqiang Zhang, Bing Zhang, Anjian Li, Yibo Zheng, Panpan Zhu, 2018.Self-Supervised Low-Rank Representation (SSLRR) for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 56(10), 5658–5672.
[15] Jie Mei, Liqiang Zhang*,Yuebing Wang, Zidong Zhu, Huiqian Ding, 2018. Joint Margin, Cograph, and Label Constraints for Semisupervised Scene Parsing From Point Clouds. IEEE Transactions on Geoscience and Remote Sensing, 56(7), 3800-3813.
[16] Liqiang Zhang*, Zhuqiang Li, Anjian Li, FangyuLiu, 2018. Large-scale Urban Point Cloud Labeling and Reconstruction. ISPRS Journal of Photogrammetry and Remote Sensing, 138, 86-100.
[17] Liqiang Zhang*, Liang Zhang, 2018. DeepLearning-Based Classification and Reconstruction of Residential Scenes FromLarge-Scale Point Clouds. IEEE Transactions on Geoscience and Remote Sensing, 56(4), 1887 – 1897.
[18] Yuebing Wang, Liqiang Zhang*, Xiaohua Tong, Feiping Nie, Haiyang Huang, Jie Mei. 2018. LRAGE: Learning Latent Relationships with Adaptive Graph Embedding forAerial Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, 56(2), 621 – 634.
[19] Zhenxin Zhang, Liqiang Zhang*, Yumin Tan, Liang Zhang, Fangyu Liu, and RuofeiZhong, 2018. Joint Discriminative Dictionary and Classifier Learning for ALSPoint Cloud Classification. IEEE Transactions on Geoscience and Remote Sensing, 56(1), 524 - 538.
2017年
[20] Yuebin Wang, Liqiang Zhang*, Hao Deng, Jiwen Lu, Haiyang Huang, Liang Zhang,Jun Liu, Hong Tang, Xiaoyue Xing, 2017. Learning a Discriminative Distance Metric with Label Consistency for Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, 55(8), 4427 – 4440.
[21] Zhuqiang Li, Liqiang Zhang*, P. Takis Mathiopoulos, Fangyu Liu, Liang Zhang,Shuaipeng Li, Hao Liu, 2017. A Hierarchical Methodology for Urban Facade Parsing from TLS Point Clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 123, 75-93.
[22] Zhuqiang Li, Liqiang Zhang*, Ruofei Zhong, Tian Fang, Liang Zhang, Zhenxin Zhang, 2017. Classification of urban point clouds: A robustsupervised approach with automatically generating training data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(3), 1207~1220.
[23] Jie Mei, Liqiang Zhang*, Shihao Wu, Zhen Wang, Liang Zhang, 2017. 3D Tree Modeling from Incomplete Point Clouds via Optimization and L1-MST. International Journal of Geographical Information Science, 31(5), 999-1021.
[24] Yuebin Wang, Liqiang Zhang*, Xiaohua Tong, Suhong Liu and Tian Fang, 2017. A Feature Extraction and Similarity Metric Learning Framework for Urban Model Retrieval. International Journal of Geographical Information Science, 31(9), 1749-1769.
2016年
[25] Zhenxin Zhang, Liqiang Zhang*, Xiaohua Tong, Bo Guo, Liang Zhang, Xiaoyue Xing,2016. Discriminative-Dictionary-Learning-Based Multilevel Point-Cluster Features for ALS Point-Cloud Classification. IEEE Transactions on Geoscience and Remote Sensing, 54(12), 7309-7322.
[26] Zhuqiang Li, Liqiang Zhang*, Xiaohua Tong, Bo Du, Yuebin Wang, Liang Zhang, Zhenxin Zhang, Hao Liu, Jie Mei, Xiaoyue Xing, 2016. A Three-step Approach for TLS Point Cloud Classification. IEEE Transactions on Geoscience and Remote Sensing, 54(9), 5412-5424. Sept. 2016.
[27] Yuebin Wang, Liqiang Zhang*, Xiaohua Tong, Liang Zhang, Zhenxin Zhang, Hao Liu,Xiaoyue Xing, P. Takis Mathiopoulos, 2016. A Three-Layered Graph-Based Learning Approach for Remote Sensing Image Retrieval. IEEE Transactions on Geoscience and Remote Sensing, 54(10), 6020 – 6034.
[28] Zhenxin Zhang, Liqiang Zhang*, Xiaohua Tong, P. Takis Mathiopoulos, Bo. Guo ; Xianfeng Huang, Zhen Wang and Yuebin Wang, 2016. A Multi-Level Point Cluster-based Discriminative Feature for ALS Point Cloud Classification. IEEE Transactions on Geoscience and Remote Sensing, 54(6), 3309 – 3321, Jun. 2016.
[29] Zhen Wang, Liqiang Zhang*, Tian Fang, Xiaohua Tong, P. Takis Mathiopoulos,Liang Zhang, Jie Mei, 2016. A Local Structure and Direction-Aware Optimization Approach for 3D Tree Modeling. IEEE Transactions on Geoscience and Remote Sensing, 54(8), 4749-4757.
[30] Hao Deng, Liqiang Zhang*, Huamin Qu, andXiancheng Mao, 2016. Interactive Urban Context-Aware Visualization via Multiple Disocclusion Operators. IEEE Transactions on Visualization and Computer Graphics, 22(7), 1862 - 1874.
[31] Liang Zhang, Liqiang Zhang*, Xiang Xu, 2016. Occlusion-free visualization ofimportant geographic features in 3D urban environments. ISPRS International Journal of Geo-Information, 5(8), 138-156. 2015年
[32] Yuebin Wang, Liqiang Zhang*, P, Takis Mathiopoulos,Hao Deng, 2015. A Gestalt rules and graph-cut-based simplification framework for urban building models. International Journal of Applied Earth Observations and Geoinformation, 35, 247–258.
[33] Zhen Wang, Liqiang Zhang*, Tian Fang, P, Takis Mathiopoulos, Xaiothua Tong, Huamin Qu, Zhiqiang Xiao, Fang Li, Dong Chen,2015. A Multi-scale and Hierarchical Feature Extraction Method for Terrestrial Laser Scanning Point Cloud Classification. IEEE Transactions on Geoscience and Remote Sensing, 53(5),2409-2425.
2014年
[34] Dong Chen, Liqiang Zhang, P. Takis Mathiopoulos, Xianfeng Huang, 2014. A Methodology for Automated Segmentation and Reconstruction of Urban 3-D Buildings from ALS Point Clouds. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(10), 4199-4217.
[35] Zhen Wang, Liqiang Zhang*,Tian Fang, P, Takis Mathiopoulos, Huamin Qu, Dong Chen, Yuebin Wang, 2014. A Structure-Aware Global Optimization Method for Reconstructing 3-D Tree Modelsfrom Terrestrial Laser Scanning Data. IEEE Transactions on Geoscience and Remote Sensing, 52(9), 5653-5669.
[36] Zhiqiang Xiao*, ShunlinLiang, Jindi Wang, Ping Chen, Xuejun Yin, Liqiang Zhang, and Jinling Song, 2014. Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product from Time Series MODIS Surface Reflectance. IEEE Transactions on Geoscience and Remote Sensing, 52(1), 209-223.
[37] Kang, Zhizhong, Zhang, Liqiang,Wang Baoqian, Li Zhen, Jia Fengman, 2014. An Optimized BaySAC Algorithm for Efficient Fitting of Primitives in Point Clouds. IEEE Geoscience and Remote Sensing Letters, 11(6), 1096-1100.
2013年
[38] Man Zhang, Liqiang Zhang*,P. Takis Mathiopoulos, Yusi Ding, Hao Wang, 2013. Perception-based shape retrieval for 3D building models. ISPRS Journal of Photogrammetry and Remote Sensing, 75, 76-91.
[39] Liqiang Zhang*, Hao Deng, Dong Chen, Zhen Wang, 2013. A spatial cognition-based urban building clustering approach and its applications. International Journal of Geographical Information Science, 27(4), 721–740.
[40] Hao Deng, LiqiangZhang, Chunming Han, Yingchao Ren, Liang Zhang, Jonathan Li, 2013. Efficient occlusion-free visualization fornavigation in mountainous areas. Computers & Geosciences, 52, 389–397.
[41] Zhizhong Kang, Liqiang Zhang, Huanyin Yue, and Roderik Lindenbergh, 2013. Range Image Techniques for Fast Detection and Quantification of Changes in Repeatedly Scanned Buildings. Photogrammetric Engineering & Remote Sensing, 79(8), 695-707.
[42] Dong Chen, Liqiang Zhang*,Zhen Wang, Hao Deng, 2013. A mathematical morphology-based multi-level filter for Generating DTMs. SCIENCE CHINA Information Sciences, 56(10), 1-14.
2012年
[43] Man Zhang, Liqiang Zhang*, P. Takis Mathiopoulos, Wenqing Xie, Yusi Ding, Hao Wang, 2012. A geometry and texture coupled flexible generalization of urban building models. ISPRS Journal of Photogrammetry and Remote Sensing, 70, 1-14.
[44] Jinghan Xie, Liqiang Zhang*,Jonathan Li, Hao Wang, Ling Yang, 2012. Automatic simplification andvisualization of 3D urban building models, International Journal of Applied Earth Observation and Geoinformation, 14(1), 222-231.
[45] Hao Deng, Liqiang Zhang*, Jingtao Ma, Liang Zhang, Dong Chen, 2012. Automatic Generation of2.5D Terrain Models without Occluding Routes of Interest. Photogrammetric Engineering and Remote Sensing, 78(11), 1175-1185.
[46] Zhiqiang Xiao, Jindi Wang, Shunlin Liang, Hongmin Zhou, Xijia Li, Liqiang Zhang, Dongping Yao, Zhuo Fu andZiti Jiao, 2012. Variational retrieval of leaf area index from MODIS time series data: Examples from the Heihe River Basin, North-west China, International Journal of Remote Sensing, 33(3), 730-745.
[47] Dong Chen, Liqiang Zhang*, Jonathan Li, 2012. Urban building roof segmentation from airborne lidar point clouds. International Journal ofRemote Sensing, 33(20), 6497-6515.
[48] Liqiang Zhang*,Yingchao Ren, Yanhui Wang, Hongling Shi, Liang Zhang, 2012. Modelling and analyzing 3D complex building interiors for effective evacuation simulations. Fire Safety Journal, 53, 1-12.
2011年
[49] Liqiang Zhang*, Liang Zhang,Yingchao Ren, Zhifeng Guo, 2011. Transmission and visualization of large geographical maps, ISPRS Journal of Photogrammetry and Remote Sensing, 66(1), 73-80.
[50] Ling Yang, Liqiang Zhang*, Jingtao Ma, Zhizhong Kang, Lixin Zhang, Jonathan Li, 2011. Efficient Simplification of Large Vector Maps Rendered onto 3D Landscapes. IEEE Computer Graphics and Applications, 31(2), 14-23.
[51] Yanhui Wang, Liqiang Zhang*, Jingtao Ma, Liu Liu, Lixin Zhang, Dongqin You,2011. Combining Building and Behavior Models for Evacuation Planning. IEEE Computer Graphics and Applications,31(3), 42-55.
[52] Ling Yang, Liqiang Zhang*, Jingtao Ma, Jinghan Xie, Liu Liu, 2011. Interactive visualization of multi-resolution urban building models considering spatial cognition. International Journal of Geographical Information Science, 25(1), 5-24.
[53] Hao Deng, LiqiangZhang*, Zhizhong Kang, 2011. Interactive panoramic map-like views for 3D mountain navigation. Computers&Geosciences,37(11), 1816-1824.
2010年
[54] Kang Zhizhong, Zhang Liqiang, Sisi Zlatanova, Jonathan Li, 2010. An Automatic Mosaicking Method for Building Facade Texture Mapping using a monocular close-range image sequence. ISPRS Journal of Photogrammetry and Remote Sensing, 65(3), 282-293.
[55] Chen Chen, Liqiang Zhang*, Jingtao Ma, Zhizhong Kang, Liu Liu, Xiaojuan Xue, 2010. Adaptive multi-resolution labeling in virtual landscapes. International Journal of Geographical Information Science, 24(6), 949–964.
[56] Liqiang Zhang*,Zhizhong Kang, Jonathan Li, Ling Yang, 2010. Web-based terrain and vecto rmaps visualization for Wenchuan Earthquake. International Journal of Applied Earth Observation and Geoinformation,12(6), 439-447.
[57] LingYang, Liqiang Zhang*, Kang ZhiZhong, Xiao ZhiQiang,Peng JunHuan, Zhang XingMing, Liu Liu, 2010. An efficient rendering method for large vector data on large terrain models. Science in China (Information Sciences), 53(6), 1122-1129.
[58] Liu Liu, Liqiang Zhang*,Ma JingTao, Zhang Liang, Zhang XingMing, Xiao ZhiQiang, Yang Ling, 2010.An improved line-of-sight method for visibility analysis in3D complex landscapes. Science in China (Information Sciences), 53(11), 2185-2194.
[59] DENG Hao, ZHANG Liqiang*, Mao XianCheng, Ma JingTao, Kang ZhiZhong, Peng JunHuan, Rui XiaoPing, Liu Liu, 2010. Fast and dynamic generation of linear octrees for geological bodies under hardware acceleration. Science in China Series D: Earth Sciences, 53(1), 113-119.
2009年
[60] Zhang Liqiang*, Tan Yumin, Kang ZhiZhong, Rui XiaoPing, Zhao YuanYuan, Liu Liu,2009.A methodology for 3D modeling and visualization of geological objects, Sci China Ser D-Earth Sci, 52(7),1022-1029.
[61] Liqiang Zhang*, Zhifeng Guo, Kang ZhiZhong, Zhang LiXin, Zhang XingMing, Yang Ling, 2009. Web-based visualization of spatialobjects in 3D GIS. Science in China Series F: Information Sciences,52(9), 1588-1579.
[62] Zhizhong Kang,Jonathan Li, Liqiang Zhang, Qile Zhao and Sisi Zlatanova, 2009. Automatic Registration ofTerrestrial Laser Scanning Point Clouds using Panoramic Reflectance Images. Sensors, 9, 2621-2646.
2007年
[63] Liqiang ZHANG*, Chongjun Yang, Xiaohua Tong, Xiaoping Rui, 2007. Visualization of large spatial data in networking environments, Computers & Geosciences, 33(9),1130-1139.
2005年
[64] Liqiang Zhang*, Chongjun Yang,Donglin Liu, Yingchao Ren, Xiaoping Rui, 2005. A web-mapping system forreal-time visualization of the global terrain. Computers & Geosciences, 31(3): 445-454.
[65] Zhang Liqiang*, Yang Chongjun,Liu Donglin, Cheng Qimin, Rui Xiaoping, 2005. Effective Techniques for Interactive Rendering of Global Terrain Surfaces. IEEE Geoscience and Remote Sensing Letters, 2(2), 215-219.[1]