2018.09-2021.07 中国科学院空天信息创新研究院 博士

2021.08-2025.03 中国科学院空天信息创新研究院 博士后
2025.04-至今 tcy8722太阳集团 特聘副教授、副教授

遥感与人工智能
农业遥感
遥感图像智能分析

《软件工程G》

[1] Anting Guo, Wenjiang Huang*, Binxiang Qian, et al. A hybrid model coupling PROSAIL and continuous wavelet transform based on multi-angle hyperspectral data improves maize chlorophyll retrieval[J]. International Journal of Applied Earth Observation and Geoinformation, 2024, 132: 104076.
[2] Anting Guo, Wenjiang Huang*, Kun Wang*, et al. Improved early detection of wheat stripe rust through integration pigments and pigment-related spectral indices quantified from UAV hyperspectral imagery[J]. International Journal of Applied Earth Observation and Geoinformation, 2024, 135: 104281.
[3] Anting Guo, Wenjiang Huang, Kun Wang*, et al. Early Monitoring of Maize Northern Leaf Blight Using Vegetation Indices and Plant Traits from Multiangle Hyperspectral Data[J]. Agriculture, 2024, 14(8): 1311.
[4] Anting Guo, Huichun Ye, Wenjiang Huang*, et al. Inversion of maize leaf area index from UAV hyperspectral and multispectral imagery[J]. Computers and Electronics in Agriculture, 2023, 212: 108020.
[5] Anting Guo, Wenjiang Huang*, et al. Evaluation of Hybrid Models for Maize Chlorophyll Retrieval Using Medium-and High-Spatial-Resolution Satellite Images[J]. Remote Sensing, 2023, 15(7): 1784.
[6] Anting Guo, Wenjiang Huang*, Huichun Ye, et al. Identification of Wheat Yellow Rust using Spectral and Texture Features of Hyperspectral Images [J]. Remote Sensing, 2020, 12, (9), 1419.
[7] Anting Guo, Wenjiang Huang*, Yingying Dong, et al. Wheat Yellow Rust Detection using UAV-based Hyperspectral Technology[J]. Remote Sensing, 2021, 13(1), 123.
[8] Binxiang Qian, Wenjiang Huang*, Anting Guo*, etc. Coupled maize model: a 4D maize growth model based on growing degree days [J]. Computers and Electronics in Agriculture, 2023,212: 108124.
[9] Xiangzhe Cheng, Wenjiang Huang, Anting Guo*, et al. Detection of Rubber Tree Powdery Mildew from Leaf Level Hyperspectral Data Using Continuous Wavelet Transform and Machine Learning[J]. Remote Sensing, 2023, 16(1): 105.
[10] Xiangzhe Cheng, Wenjiang Huang*, Anting Guo*, et al. Monitoring of rubber tree powdery mildew by combining spatial-spectral features and plant traits quantified from UAV hyperspectral imagery[J]. Computers and Electronics in Agriculture, 2026, 241: 111274.

[1] 国家自然科学基金青年基金项目，玉米大斑病多角度高光谱遥感早期探测方法研究，2023.01-2025.12，主持
[2] 海南省自然科学基金青年基金项目，橡胶树白粉病光谱探测机理及区域监测方法研究，2022.04-2024.04，主持
[3] 横向项目，基于三维矩阵相机的鱼类三维模型构建，2025.08-2025.12，主持
[4] 中国科学院先导专项子课题，作物长势、灾害与产量监测预警技术示范， 2021.09-2026.08，参与
[5] 国家重点研发计划政府间国际科技创新合作重点项目，粮食作物重大病虫害遥感监测预警与防控技术，2019.03-2022.02，参与
[6] 国家重点研发计划项目，全球粮食和病虫害监测与预警，2023.12-2026.12，参与
[7] 国家自然科学基金面上项目，基于作物生长模型的小麦条锈病减产预测方法研究，2023/1-2026/12，参与

[1] 农作物病虫害定损理赔方法及系统，ZL201910549551.6，授权
[2] 一种棉花脱叶剂施药处方图生成方法及装置，ZL202010209700.7，授权
[3] 一种作物生长模型的构建方法及装置，ZL202310814195.2，授权
[4] 作物的生化组分含量的模拟方法及装置，ZL202510139555.2，授权
[5] 玉米病情指数模拟和病斑空间分布可视化方法及装置，CN202510815739.6
[6] 多源特征协同的小麦条锈病监测模型的构建方法及装置，CN202510215345.7