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浏览/检索结果: 共4条，第1-4条 帮助 限定条件 学科主题：Remote Sensing     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 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 Digital terrain model (DTM)  deep learning  fully convolutional neural network (FCN)  ground filtering  light detection and ranging (LiDAR)   Fusion of airborne discrete-return LiDAR and hyperspectral data for land cover classification 期刊论文 Remote Sensing, 2016, 卷号: 8, 期号: 1 作者:  Luo, Shezhou;  Wang, Cheng;  Xi, Xiaohuan;  Zeng, Hongcheng;  Li, Dong 收藏  |  浏览/下载：53/0  |  提交时间：2017/04/24 PEARL RIVER DELTA  LAND EXPANSION  SPATIOTEMPORAL PATTERNS  METROPOLITAN-AREA  DRIVING FORCES  GROWTH  DYNAMICS  SPRAWL  REGION  CONSTRUCTION   Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas 期刊论文 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2016, 卷号: 117, 页码: 79-91 作者:  Zhao, Xiaoqian;  Guo, Qinghua;  Su, Yanjun;  Xue, Baolin 收藏  |  浏览/下载：0/0  |  提交时间：2022/07/08 Light detection and ranging  Ground filtering  Ground points  Triangulated irregular network  Digital terrain model   Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas 期刊论文 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2016, 卷号: 117 作者:  Zhao, Xiaoqian;  Guo, Qinghua;  Su, Yanjun;  Xue, Baolin 收藏  |  浏览/下载：0/0  |  提交时间：2022/07/05 Light detection and ranging  Ground filtering  Ground points  Triangulated irregular network  Digital terrain model