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A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 3958-3974
作者:  Jin, Shichao;  Sun, Yanjun;  Zhao, Xiaoqian;  Hu, Tianyu;  Guo, Qinghua
收藏  |  浏览/下载:83/0  |  提交时间:2022/03/01
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 4, 页码: 2644-2658
作者:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Wu, Fangfang;  Ma, Qin
收藏  |  浏览/下载:10/0  |  提交时间:2022/03/01
Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 3, 页码: 1336-1346
作者:  Jin, Shichao;  Su, Yanjun;  Wu, Fangfang;  Pang, Shuxin;  Gao, Shang
收藏  |  浏览/下载:2/0  |  提交时间:2022/01/06
Efficiency of Extreme Gradient Boosting for Imbalanced Land Cover Classification Using an Extended Margin and Disagreement Performance 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 7
作者:  Sun, Fei;  Wang, Run;  Wan, Bo;  Su, Yanjun;  Guo, Qinghua
收藏  |  浏览/下载:9/0  |  提交时间:2022/01/06
Mapping Irrigated Areas of Northeast China in Comparison to Natural Vegetation 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 7
作者:  Xiang, Kunlun;  Ma, Minna;  Liu, Wei;  Dong, Jie;  Zhu, Xiufang
收藏  |  浏览/下载:5/0  |  提交时间:2022/01/06
The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data 期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 8
作者:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Hu, Tianyu;  Liu, Jin
收藏  |  浏览/下载:11/0  |  提交时间:2022/02/25
One-class remote sensing classification: one-class vs. binary classifiers 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 卷号: 39, 期号: 6, 页码: 1890-1910
作者:  Deng, Xueqing;  Li, Wenkai;  Liu, Xiaoping;  Guo, Qinghua;  Newsam, Shawn
收藏  |  浏览/下载:11/0  |  提交时间:2022/02/25
Optimal combinations of data, classifiers, and sampling methods for accurate characterizations of deforestation 期刊论文
CANADIAN JOURNAL OF REMOTE SENSING, 2002, 卷号: 28, 期号: 4, 页码: 601-609
作者:  Wu, WC;  Shao, GF;  Shao, GF, Purdue Univ, Dept Forestry & Nat Resources, 1159 Forest Bldg, W Lafayette, IN 47907 USA
收藏  |  浏览/下载:15/0  |  提交时间:2011/09/23
Optimal combinations of data, classifiers, and sampling methods for accurate characterizations of deforestation 期刊论文
CANADIAN JOURNAL OF REMOTE SENSING, 2002, 卷号: 28, 期号: 4, 页码: 601-609
Wu, WC; Shao, GF
收藏  |  浏览/下载:11/0  |  提交时间:2011/09/23


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