个人简介

刘浩,男,1994年生,讲师,农学博士。20176月获得南京林业大学地理信息科学专业理学学士学位,202212月获得南京林业大学森林培育专业农学博士学位。20231月加入常熟理工学院计算机科学与工程学院,从事教学与科研工作。主要研究领域为深度学习、激光雷达点云、多源多尺度遥感、森林物候研究等。


主要承担的教学课程

计算机组成原理


代表性学术成果

科研论文:

[1] liu h, shen x, cao l, et al. deep learning in forest structural parameter estimation using airborne lidar data. ieee journal of selected topics in applied earth observations and remote sensing[j], 2022, 14: 1603-1618.

[2] liu h, cao f, she g, et al. extrapolation assessment for forest structural parameters in planted forests of southern china by uav-lidar samples and multispectral satellite imagery[j]. remote sensing, 2022, 14(11): 2677.

[3] 刘浩, 张峥男, 曹林. 机载激光雷达森林垂直结构剖面参数的沿海平原人工林林分特征反演[j]. 遥感学报, 2018, 05: 872-888.

[4] cao l, liu h, fu x, et al. comparison of uav lidar and digital aerial photogrammetry point clouds for estimating forest structural attributes in subtropical planted forests[j]. forests, 2019, 10(2): 145.

[5] zhou k, cao l, liu h, et al. estimation of volume resources for planted forests using an advanced lidar and hyperspectral remote sensing. resources, conservation and recycling[j], 2022, 185: 106485.


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