陈业培，女，工学博士，湖北工业大学讲师。长期从事传感器辐射定标、植被参数遥感定量反演以及植被时空变化分析的研究工作。主持国家自然科学基金青年项目1项，开放基金项目1项。作为技术骨干参与了国家自然基金重大研究计划、重点研发项目、国家高分重大专项等项目。发表EI/SCI检索论文10余篇，担任ISPRS Journal of Photogrammetry and Remote Sensing、Remote Sensing等国际期刊的审稿人。

教育经历：

[1]2015.09—2021.06 1+4硕博连读,摄影测量与遥感，测绘遥感信息工程国家重点实验室,武汉大学，导师：李德仁院士，孙开敏教授

[2]2018.09—2019.08 联合培养，波士顿大学，导师：RangaMyneni教授

科研项目：

[1]国家自然科学基金青年项目（42301457）：模型驱动与数据驱动深度耦合的静轨卫星叶面积指数反演研究，时间：2024.01-2026.12；课题负责人

[2]南京北斗创新应用科技研究院开放基金项目（20230601）：联合多源卫星数据的林草火灾智能提取研究，2023.07-2024.06；课题负责人

发表论文：

[1]Yepei Chen,Pengfei Li, Chuan Xu,Kaimin Sun,Zhina Song,Wenzhuo Li,Xiuqing Hu,Qing An.Retrieving leaf area index from FY-3D MERSI-II data using a sensor-adaptive algorithm. International Journal of Remote Sensing, 2023, 44(7): 2317-2341. (SCI论文)

[2]Yepei Chen,Kaimin Sun,Wenzhuo Li,Xiuqing Hu,Pengfei Li,Ting Bai.Vicariouscalibration of FengYun-3D MERSI-II atrailroadvalleyplayasite: Acase forsensors withlargeviewangles. Remote Sensing, 2021, 13(7): 1347. (SCI论文)

[3]Yepei Chen,Kaimin Sun,Wenzhuo Li,Chi Chen,Pengfei Li,Ting Bai,Taejin Park,Weile Wang,Ramakrishna R Nemani,Ranga B Myneni.Prototyping of LAI and FPARretrievalsfrom GOES-16advancedbaselineimagerdatausingglobaloptimizingalgorithm.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 6937-6950.(SCI论文)

[4]Yepei Chen,Kaimin Sun,Chi Chen,Ting Bai,Taejin Park,Weile Wang,Ramakrishna R Nemani,Ranga B Myneni.Generation and evaluation of LAI and FPAR products from Himawari-8 advanced Himawari imager (AHI) data.Remote Sensing, 2019, 11(13): 1517.(SCI论文)

[5]Yepei Chen,Kaimin Sun,Deren Li,Ting Bai,Wenzhuo Li.Improved relative radiometric normalization method of remote sensing images for change detection.Journal of Applied Remote Sensing, 2018, 12(4): 045018.(SCI论文)

[6]Yepei Chen,Kaimin Sun,Deren Li,Ting Bai,Chengquan Huang.Radiometric cross-calibration of GF-4 PMS sensor based on assimilation ofLandsat-8 OLI images.Remote Sensing, 2017, 9(8): 811.(SCI论文)

[7]Jiadan Dong,Yepei Chen, Xiaoling Chen, Qiangqiang Xu. Radiometric Cross-Calibration of Wide-Field-of-View Cameras Based on Gaofen-1/6 Satellite Synergistic Observations Using Landsat-8 Operational Land Imager Images: A Solution for Off-Nadir Wide-Field-of-View Associated Problems. Remote Sensing. 2023, 15(15), 3851. (SCI论文)

[8]Wangbin Li, Kaimin Sun, Wenzhuo Li, Xiao Huang, Jinjiang Wei,Yepei Chen, Wei Cui, Xueyu Chen, Xianwei Lv.Assisted learning for land use classification: The important role of semantic correlation between heterogeneous images. ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 208: 158-175.(SCI论文)

[9]Ting Bai, Le Wang, Dameng Yin, Kaimin Sun,Yepei Chen, Wenzhuo Li, Deren Li. Deep learning for change detection in remote sensing: a review. Geo-spatial Information Science, 2022, 1-27.(SCI论文)

[10]SongGao, Wenzhuo Li, Kaimin Sun, Jinjiang Wei,Yepei Chen, Xuan Wang. Built-up area change detection using multi-task network with object-level refinement. Remote Sensing, 2022, 14(4): 957. (SCI论文)

[11]Ting Bai, Kaimin Sun, Wenzhuo Li, Deren Li,Yepei Chen, Haigang Sui. A Novel Class-specific Object-based Method for Urban Change Detection using High-Resolution Remote Sensing Imagery. Photogrammetric Engineering & Remote Sensing, 2021, 87(4): 249-262. (SCI论文)

[12]Ting Bai, Kaimin Sun, Shiquan Deng, Deren Li, Wenzhuo Li,Yepei Chen. Multi-scale Hierarchical Sampling Change Detection Using Random Forest for High-resolution Satellite Imagery. International Journal of Remote Sensing, 2018, 39(21): 7523-7546. (SCI论文)

[13]Ting Bai, Kaimin Sun, Shiquan Deng, Deren Li, Wenzhuo Li,Yepei Chen. Cloud detection for high-resolution satellite imagery using machine learning and multi-feature fusion. Remote Sensing, 2016, 8(9): 715. (SCI论文)

[14]Yepei Chen, Xin Mei, Junyi Liu. Cotton growth monitoring and yield estimation based on assimilation of remote sensing data and crop growth model. International Conference on Geoinformatics,2016, pp.1-4. IEEE. (EI会议)

[15]陈业培,孙开敏,白婷,彭亚军.高分二号影像融合方法质量评价.测绘科学2017,(11). (中文核心)

专利：

[1]孙开敏,陈业培,白婷,眭海刚。用于大观测角传感器的交叉辐射定标方法及系统。中华人民共和国国家知识产权局，专利号：ZL 201710349402.6，授权时间2019-06-25。

[2]孙开敏,白婷,邓实权,陈业培,眭海刚，基于多特征综合及机器学习的高分卫星影像云检测方法，中华人民共和国国家知识产权局，专利号：ZL201610132801.2，授权时间2018-10-09。