Detection of Standing Dead Trees after Pine Wilt Disease Outbreak with Airborne Remote Sensing Imagery by Multi-Scale Spatial Attention Deep Learning and Gaussian Kernel Approach - researchr publication related

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Zemin Han, Wenjie Hu, Shoulian Peng, Haoran Lin, Jian Zhang 0012, Jingjing Zhou, Pengcheng Wang, Yuanyong Dian. Detection of Standing Dead Trees after Pine Wilt Disease Outbreak with Airborne Remote Sensing Imagery by Multi-Scale Spatial Attention Deep Learning and Gaussian Kernel Approach. Remote Sensing, 14(13):3075, 2022. [doi]

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Satellite Remote Sensing Identification of Discolored Standing Trees for Pine Wilt Disease Based on Semi-Supervised Deep LearningJiahao Wang, Junhao Zhao, Hong Sun, Xiao Lu, Jixia Huang, Shaohua Wang 0001, Guofei Fang. remotesensing, 14(23):5936, December 2022. [doi]

Detection of the Infection Stage of Pine Wilt Disease and Spread Distance Using Monthly UAV-Based Imagery and a Deep Learning ApproachCheng Tan, Qinan Lin, Huaqiang Du, Chao Chen, Mengchen Hu, Jinjin Chen, Zihao Huang, Yanxin Xu. remotesensing, 16(2):364, January 2024. [doi]

A Remote Sensing and Airborne Edge-Computing Based Detection System for Pine Wilt DiseaseFengdi Li, Zhenyu Liu, Weixing Shen, Yan Wang, Yunlu Wang, Chengkai Ge, Fenggang Sun, Peng Lan. access, 9:66346-66360, 2021. [doi]

Detection of the Monitoring Window for Pine Wilt Disease Using Multi-Temporal UAV-Based Multispectral Imagery and Machine Learning AlgorithmsDewei Wu, Linfeng Yu, Run Yu, Quan Zhou, Jiaxing Li, Xudong Zhang, Lili Ren, Youqing Luo. remotesensing, 15(2):444, January 2023. [doi]

A machine learning algorithm to detect pine wilt disease using UAV-based hyperspectral imagery and LiDAR data at the tree levelRun Yu, Youqing Luo, Quan Zhou, Xudong Zhang, Dewei Wu, Lili Ren. aeog, 101:102363, 2021. [doi]

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