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Loess Landslide Detection Using Object Detection Algorithms in Northwest China 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 5
作者:  Ju, Yuanzhen;  Xu, Qiang;  Jin, Shichao;  Li, Weile;  Su, Yanjun;  Dong, Xiujun;  Guo, Qinghua
Adobe PDF(11451Kb)  |  收藏  |  浏览/下载：13/0  |  提交时间：2024/03/07
loess landslide  google earth image  deep learning  automatic identification  object detection  
The Influence of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne LiDAR Data 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 23
作者:  Yang, Qiuli;  Su, Yanjun;  Jin, Shichao;  Kelly, Maggi;  Hu, Tianyu;  Ma, Qin;  Li, Yumei;  Song, Shilin;  Zhang, Jing;  Xu, Guangcai;  Wei, Jianxin;  Guo, Qinghua
Adobe PDF(6208Kb)  |  收藏  |  浏览/下载：81/0  |  提交时间：2022/01/06
individual segmentation method  leaf area index  canopy cover  tree density  coefficient of variation of tree height  
One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background Learning Algorithm 期刊论文
REMOTE SENSING, 2017, 卷号: 9, 期号: 10
作者:  Ao, Zurui;  Su, Yanjun;  Li, Wenkai;  Guo, Qinghua;  Zhang, Jing
Adobe PDF(1859Kb)  |  收藏  |  浏览/下载：87/0  |  提交时间：2022/03/28
LiDAR  one-class classification  presence and background learning algorithm  remote sensing  
SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery 期刊论文
REMOTE SENSING, 2015, 卷号: 7, 期号: 9, 页码: 11202-11225
作者:  Su, Yanjun;  Guo, Qinghua;  Ma, Qin;  Li, Wenkai
Adobe PDF(3624Kb)  |  收藏  |  浏览/下载：65/0  |  提交时间：2022/09/13
SRTM  DEM  LiDAR  ICESat  GLAS  vegetation  mountain  canopy height  canopy cover