农作物种植结构信息提取

农作物长势及营养状况遥感监测

农业生产过程（泡田、收割等）监测

沼泽湿地植被精细分类方法

土地利用遥感分类方法

   

070503-地图学与地理信息系统

农业遥感
湿地遥感
智能算法

2007-09--2012-07   中国科学院东北地理与农业生态研究所   博士
2003-09--2007-07   东北林业大学   学士

   

2019-12~2022-12,中国科学院东北地理与农业生态研究所, 副研究员
2017-10~2018-10,英国兰卡斯特大学, 访问学者
2012-07~2019-11,中国科学院东北地理与农业生态研究所, 助理研究员

   

（1） 吉林省遥感学会青年学者优秀报告奖, 二等奖, 其他, 2020

[1] 李华朋, 张树清. 一种层次深度学习农作物遥感分类方法. CN: CN112446339A, 2021-03-05.
[2] 李华朋, 张策, 张淑清, 丁小辉, 吴鹏, 田亚君. 基于对象的OBIA-SVM-CNN遥感影像分类方法. CN: CN109740631A, 2019-05-10.
[3] 丁小辉, 张树清, 陈祥葱, 李华朋, 刘照, 魏延生. 一种泛知识化时空对象表达数据库建立方法. CN: CN107480321A, 2017-12-15.
[4] 刘照, 张树清, 李华朋, 丁小辉, 魏延生. 一种基于双层粒子群算法的渠系配水优化方法. CN: CN107122847A, 2017-09-01.
[5] 李华朋, 张淑清, 丁小辉, 刘照, 魏延生. 一种基于蜂群智能的遥感影像聚类方法. CN: CN106650790A, 2017-05-10.
[6] 李华朋, 张淑清, 刘春悦, 刘照, 丁小辉. 一种基于改进粒子群的非监督遥感影像分类方法. CN: CN106650791A, 2017-05-10.

   

[1] 卢元兵, 李华朋, 张树清. 基于混合3D-2D CNN的多时相遥感农作物分类. 农业工程学报[J]. 2021, 37(13): 142-151, http://lib.cqvip.com/Qikan/Article/Detail?id=7105528667.
[2] Li, Huapeng, Zhang, Ce, Zhang, Yong, Zhang, Shuqing, Ding, Xiaohui, Atkinson, Peter M. A Scale Sequence Object-based Convolutional Neural Network (SS-OCNN) for crop classification from fine spatial resolution remotely sensed imagery. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2021, 14(11): 1528-1546, http://dx.doi.org/10.1080/17538947.2021.1950853.
[3] Xiaohui Ding, Huapeng Li, Yong Li, Ji Yang, Shuqing Zhang. Comparison of swarm intelligence algorithms for optimized band selection of hyperspectral remote sensing image. OPEN GEOSCIENCES[J]. 2020, 12(1): 425-442, https://doaj.org/article/47f48e31b1aa4e28bf1525d42de133eb.
[4] Ding, Xiaohui, Li, Huapeng, Yang, Ji, Dale, Patricia, Chen, Xiangcong, Jiang, Chunlei, Zhang, Shuqing. An Improved Ant Colony Algorithm for Optimized Band Selection of Hyperspectral Remotely Sensed Imagery. IEEE ACCESS[J]. 2020, 8: 25789-25799, https://doaj.org/article/5ceb1df269b44cb3979641cc6c33a8fb.
[5] Ding, Xiaohui, Zhang, Shuqing, Li, Huapeng, Wu, Peng, Dale, Patricia, Liu, Lingjia, Cheng, Shuai. A restrictive polymorphic ant colony algorithm for the optimal band selection of hyperspectral remote sensing images. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2020, 41(3): 1093-1117, http://dx.doi.org/10.1080/01431161.2019.1655810.
[6] Zhang, Ce, Harrison, Paula A, Pan, Xin, Li, Huapeng, Sargent, Isabel, Atkinson, Peter M. Scale Sequence Joint Deep Learning (SS-JDL) for land use and land cover classification. REMOTE SENSING OF ENVIRONMENT[J]. 2020, 237: http://dx.doi.org/10.1016/j.rse.2019.111593.
[7] Li, Huapeng, Zhang, Ce, Zhang, Shuqing, Atkinson, Peter M. Crop classification from full-year fully-polarimetric L-band UAVSAR time-series using the Random Forest algorithm. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2020, 87: http://dx.doi.org/10.1016/j.jag.2019.102032.
[8] Huapeng Li, Ce Zhang, Shuqing Zhang, Peter M Atkinson. Full year crop monitoring and separability assessment with fully-polarimetric L-band UAVSAR: A case study in the Sacramento Valley, California. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATIONS AND GEOINFORMATION. 2019, 74: 45-56, http://dx.doi.org/10.1016/j.jag.2018.08.024.
[9] Li, Huapeng, Zhang, Ce, Zhang, Shuqing, Atkinson, Peter M. A hybrid OSVM-OCNN Method for Crop Classification from Fine Spatial Resolution Remotely Sensed Imagery. REMOTE SENSING[J]. 2019, 11(20): https://doaj.org/article/e3bbf8d8254e4028857de65a13987188.
[10] Zhang, Ce, Sargent, Isabel, Pan, Xin, Li, Huapeng, Gardiner, Andy, Hare, Jonathon, Atkinson, Peter M. Joint Deep Learning for land cover and land use classification. REMOTE SENSING OF ENVIRONMENT[J]. 2019, 221: 173-187, http://dx.doi.org/10.1016/j.rse.2018.11.014.
[11] Li, Huapeng, Zhang, Ce, Zhang, Shuqing, Atkinson, Peter M. Full year crop monitoring and separability assessment with fully-polarimetric L-band UAVSAR: A case study in the Sacramento Valley, California. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2019, 74: 45-56, http://dx.doi.org/10.1016/j.jag.2018.08.024.
[12] Wu, Peng, Zhang, Shuqing, Li, Huapeng, Dale, Patricia, Ding, Xiaohui, Lu, Yuanbing. Urban Parcel Grouping Method Based on Urban form and Functional Connectivity Characterisation. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2019, 8(6): https://doaj.org/article/64fd1ce4fafe4c5b8a07f2e0f64a9ec5.
[13] Zhang, Ce, Pan, Xin, Li, Huapeng, Gardiner, Andy, Sargent, Isabel, Hare, Jonathon, Atkinson, Peter M. A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification. ISPRSJOURNALOFPHOTOGRAMMETRYANDREMOTESENSING[J]. 2018, 140: 133-144, http://dx.doi.org/10.1016/j.isprsjprs.2017.07.014.
[14] 魏延生, 张树清, 李华朋, 丁小辉, 刘照. 基于点圆理论的2D/3D点包含高效判定. 中国科学院大学学报[J]. 2018, 35(3): 353-361, http://lib.cqvip.com/Qikan/Article/Detail?id=675249348.
[15] Zhang, Ce, Sargent, Isabel, Pan, Xin, Li, Huapeng, Gardiner, Andy, Hare, Jonathon, Atitinson, Peter M. An object-based convolutional neural network (OCNN) for urban land use classification. REMOTE SENSING OF ENVIRONMENT[J]. 2018, 216: 57-70, http://dx.doi.org/10.1016/j.rse.2018.06.034.
[16] 姜春雷, 张树清, 张策, 李华朋, 丁小辉. 基于SARIMA-BP神经网络组合方法的MODIS叶面积指数时间序列建模与预测. 光谱学与光谱分析[J]. 2017, 37(1): 189-193, http://lib.cqvip.com/Qikan/Article/Detail?id=71856578504849554849485249.
[17] Li, Huapeng, Zhang, Shuqing, Zhang, Ce, Li, Ping, Cropp, Roger. A novel unsupervised Levy flight particle swarm optimization (ULPSO) method for multispectral remote-sensing image classification. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2017, 38(23): 6970-6992, https://www.webofscience.com/wos/woscc/full-record/WOS:000412545900027.
[18] 丁小辉, 张树清, 陈祥葱, 李华朋, 刘照. 时空对象行为分类与形式化表达. 地球信息科学学报[J]. 2017, 19(9): 1195-1200, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=6081481&detailType=1.
[19] Jiang Chunlei, Zhang Shuqing, Zhang Ce, Li Huapeng, Ding Xiaohui. Modeling and Predicting of MODIS Leaf Area Index Time Series Based on a Hybrid. SARIMA and BP Neural Network Method. SPECTROSCOPY AND SPECTRAL ANALYSIS[J]. 2017, 37(1): 189-193, https://www.webofscience.com/wos/woscc/full-record/WOS:000392359300035.
[20] 李华朋, 陈祥葱, 张树清, 丁小辉, 魏延生. 时空参考框架普适化表达. 地球信息科学学报[J]. 2017, 19(9): 1201-1207, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=6081482&detailType=1.
[21] 刘照, 程帅, 李华朋, 姜春雷, 刘春悦, 丁小辉, 张树清. 基于双层粒子群算法的下级渠道流量不等时渠系优化配水. 干旱地区农业研究[J]. 2017, 35(3): 88-93,237, http://lib.cqvip.com/Qikan/Article/Detail?id=672659231.
[22] Huapeng Li, Shuqing Zhang, Xiaohui Ding, Ce Zhang, Patricia Dale. Performance Evaluation of Cluster Validity Indices (CVIs) on Multi/Hyperspectral Remote Sensing Datasets. REMOTE SENSING[J]. 2016, 8(4): http://159.226.123.10/handle/131322/7062.
[23] Li, Huapeng, Zhang, Shuqing, Ding, Xiaohui, Zhang, Ce, Cropp, Roger. A novel unsupervised bee colony optimization (UBCO) method for remote-sensing image classification: a case study in a heterogeneous marsh area. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2016, 37(24): 5726-5748, https://www.webofscience.com/wos/woscc/full-record/WOS:000388599500003.
[24] 丁小辉, 李华朋, 张树清. 基于多态蚁群算法的高光谱遥感影像最优波段选择. 遥感技术与应用[J]. 2016, 31(2): 275-284, http://159.226.123.10/handle/131322/6888.
[25] Zhang, Ce, Wang, Tiejun, Atkinson, Peter M, Pan, Xin, Li, Huapeng. A novel multi-parameter support vector machine for image classification. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2015, 36(7): 1890-1906, http://dx.doi.org/10.1080/01431161.2015.1029096.
[26] 程帅, 张兴宇, 李华朋, 张树清. 遥感估算蒸散发应用于灌溉水资源管理研究进展. 核农学报[J]. 2015, 29(10): 2040-2047, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5541263&detailType=1.
[27] Li Huapeng, Zhang Shuqing, Gao Ziqiang, Sun Yan. Evaluating the Utility of MODIS Vegetation Index for Monitoring Agricultural Drought. SPECTROSCOPY AND SPECTRAL ANALYSIS[J]. 2013, 33(3): 756-761, https://www.webofscience.com/wos/woscc/full-record/WOS:000317439900038.
[28] Wen Zhaofei, Zhang Ce, Zhang Shuqing, Ding Changhong, Liu Chunyue, Pan Xin, Li Huapeng, Sun Yan. Effects of normalized difference vegetation index and related wavebands' characteristics on detecting spatial heterogeneity using variogram-based analysis. CHINESE GEOGRAPHICAL SCIENCE[J]. 2012, 22(2): 188-195, http://lib.cqvip.com/Qikan/Article/Detail?id=41616837.
[29] WEN Zhaofei, ZHANG Ce, ZHANG Shuqing, DING Changhong, LIU Chunyue, PAN Xin, LI Huapeng, SUN Yan. Effects of Normalized Difference Vegetation Index and Related Wavebands＇ Characteristics on Detecting Spatial Heterogeneity Using Variogram-based Analysis. 中国地理科学：英文版[J]. 2012, 22(2): 188-195, http://lib.cqvip.com/Qikan/Article/Detail?id=41616837.
[30] 张光裕, 李华朋. 证据推理遥感分类背景下遥感影像证据支持度生成方法的对比. 东北林业大学学报[J]. 2011, 39(6): 80-82,113, http://lib.cqvip.com/Qikan/Article/Detail?id=38100418.
[31] 李华朋, 张树清, 孙妍, 刘春悦. 集成多时相ETM＋影像的证据推理湿地遥感分类. 吉林大学学报：地球科学版[J]. 2011, 41(4): 1246-1252, http://lib.cqvip.com/Qikan/Article/Detail?id=39202598.
[32] Li Huapeng, Zhang Shuqing, Sun Yan, Gao Jing. Land cover classification with multi-source data using evidential reasoning approach. CHINESE GEOGRAPHICAL SCIENCE[J]. 2011, 21(3): 312-321, http://lib.cqvip.com/Qikan/Article/Detail?id=37882344.
[33] 李华朋, 张树清, 孙妍. 证据理论结合遥感分类数据能力定量评价研究. 国土资源遥感[J]. 2011, 26-32, http://lib.cqvip.com/Qikan/Article/Detail?id=37023956.
[34] LI Huapeng, ZHANG Shuqing, SUN Yan, GAO Jing. Land Cover Classification with Multi-source Data Using Evidential Reasoning Approach. 中国地理科学：英文版[J]. 2011, 21(3): 312-321, http://lib.cqvip.com/Qikan/Article/Detail?id=37882344.
[35] 李华朋, 张树清, 孙妍. 基于光谱混合分析的城市植被覆盖度与地表温度关系的研究. 中国科学院研究生院学报[J]. 2010, 27(6): 739-747, http://lib.cqvip.com/Qikan/Article/Detail?id=36104138.
[36] 李华朋, 张树青, 孙妍. 合成孔径雷达在湿地资源研究中的应用. 自然资源学报[J]. 2010, 148-154, http://lib.cqvip.com/Qikan/Article/Detail?id=32966909.
[37] 武岩, 李华朋, 王煜国. 证据推理的遥感图像分类方法与应用. 地球信息科学学报[J]. 2010, 843-849, http://lib.cqvip.com/Qikan/Article/Detail?id=36237368.
[38] 温兆飞, 张树青, 陈春, 刘春悦, 李晓峰, 李华朋. 三江源区湖泊和沼泽遥感影像分类研究. 湿地科学[J]. 2010, 132-138, http://lib.cqvip.com/Qikan/Article/Detail?id=34420993.

   

（ 1 ） 高分卫星遥感城市土地利用信息智能挖掘关键技术与软件平台研发, 主持, 省级, 2021-01--2022-12
（ 2 ） 基于免疫蚁群智能的多目标湿地景观格局优化模型, 主持, 省级, 2017-01--2018-12
（ 3 ） 基于免疫蚁群优化模型的高分辨率多源遥感湿地分类研究, 主持, 国家级, 2014-01--2016-12
（ 4 ） 地理大数据模糊位置的精准化, 主持, 国家级, 2017-07--2021-12