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Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks 期刊论文
CROP JOURNAL, 2022, 卷号: 10, 期号: 5, 页码: 1239-1250
作者:  Ao, Zurui;  Wu, Fangfang;  Hu, Saihan;  Sun, Ying;  Guo, Yanjun;  Guo, Qinghua;  Xin, Qinchuan
Adobe PDF(2926Kb)  |  收藏  |  浏览/下载：10/0  |  提交时间：2024/03/07
Terrestrial LiDAR Phenotype  Organ segmentation  Convolutional neural networks  
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：10/0  |  提交时间：2024/03/07
loess landslide  google earth image  deep learning  automatic identification  object detection  
One-Class Remote Sensing Classification From Positive and Unlabeled Background Data 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 730-746
作者:  Li, Wenkai;  Guo, Qinghua;  Elkan, Charles
Adobe PDF(11598Kb)  |  收藏  |  浏览/下载：72/0  |  提交时间：2023/02/24
Training  Remote sensing  Classification algorithms  Mathematical model  Support vector machines  Data models  Prediction algorithms  Case-control sampling  labeled and unlabeled data  one-class classification  positive and background learning with constraints (PBLC)  remote sensing  
The Potential of Mapping Grassland Plant Diversity with the Links among Spectral Diversity, Functional Trait Diversity, and Species Diversity 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 15
作者:  Zhao, Yujin;  Sun, Yihan;  Chen, Wenhe;  Zhao, Yanping;  Liu, Xiaoliang;  Bai, Yongfei
Adobe PDF(5826Kb)  |  收藏  |  浏览/下载：65/0  |  提交时间：2023/02/24
grassland  biodiversity  remote sensing  functional trait  spectral diversity  imaging spectroscopy  
A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 166, 页码: 82-94
作者:  Guan, Hongcan;  Su, Yanjun;  Sun, Xiliang;  Xu, Guangcai;  Li, Wenkai;  Ma, Qin;  Wu, Xiaoyong;  Wu, Jin;  Liu, Lingli;  Guo, Qinghua
Adobe PDF(11275Kb)  |  收藏  |  浏览/下载：86/0  |  提交时间：2022/03/01
Terrestrial laser scanning  Registration  Marker-free  Forest  
Application of deep learning in ecological resource research: Theories, methods, and challenges 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2020, 卷号: 63, 期号: 10, 页码: 1457-1474
作者:  Guo, Qinghua;  Jin, Shichao;  Li, Min;  Yang, Qiuli;  Xu, Kexin;  Ju, Yuanzhen;  Zhang, Jing;  Xuan, Jing;  Liu, Jin;  Su, Yanjun;  Xu, Qiang;  Liu, Yu
Adobe PDF(4690Kb)  |  收藏  |  浏览/下载：100/0  |  提交时间：2022/03/01
Ecological resources  Deep learning  Neural network  Big data  Theory and tools  Application and challenge  
An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 24
作者:  Guan, Hongcan;  Su, Yanjun;  Hu, Tianyu;  Chen, Jin;  Guo, Qinghua
Adobe PDF(10441Kb)  |  收藏  |  浏览/下载：93/0  |  提交时间：2022/01/06
spatiotemporal data fusion  object-based framework  similar pixel  vegetation mapping  
Landscape-level vegetation classification and fractional woody and herbaceous vegetation cover estimation over the dryland ecosystems by unmanned aerial vehicle platform 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2019, 卷号: 278
作者:  Wang, Haozhou;  Han, Dong;  Mu, Yue;  Jiang, Lina;  Yao, Xueling;  Bai, Yongfei;  Lu, Qi;  Wang, Feng
Adobe PDF(10642Kb)  |  收藏  |  浏览/下载：105/0  |  提交时间：2022/01/06
Dryland vegetation  Machine learning  Decision tree model  Digital orthophoto map  Otindag sandy land  Semi-arid ecosystem  Classification and regression tree (CART)  
Artificial Mangrove Species Mapping Using Pleiades-1: An Evaluation of Pixel-Based and Object-Based Classifications with Selected Machine Learning Algorithms 期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 2
作者:  Wang, Dezhi;  Wan, Bo;  Qiu, Penghua;  Su, Yanjun;  Guo, Qinghua;  Wu, Xincai
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载：89/0  |  提交时间：2022/02/25
artificial mangrove  object-based  pixel-based  decision tree  random forest  support vector machine  
Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms 期刊论文
FRONTIERS IN PLANT SCIENCE, 2018, 卷号: 9
作者:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Wu, Fangfang;  Hu, Tianyu;  Liu, Jin;  Li, Wankai;  Wang, Dingchang;  Chen, Shaojiang;  Jiang, Yuanxi;  Pang, Shuxin;  Guo, Qinghua
Adobe PDF(2278Kb)  |  收藏  |  浏览/下载：77/0  |  提交时间：2022/02/25
deep learning  detection  classification  segmentation  phenotype  Lidar (light detection and ranging)