
浏览全部资源
扫码关注微信
经典的渐进加密三角网算法采用同一套参数难以在平地/山区混合的机载激光点云数据中取得良好的滤波结果。针对该问题,提出了一种改进的、基于地形预分类的渐进加密滤波方法。首先利用单一参数进行初次滤波,并根据滤波结果获取地形预分类结果;然后针对平地/山区地形特点,利用不同参数进行二次滤波,得到不同地形更精细的滤波结果;最后对不同地形的地面点进行合并,生成最终滤波结果。实验结果表明,基于地形预分类的渐进加密滤波方法生成的数字高程模型的均方根误差为1.733 m,显著优于经典方法。
王欢,张翰超,张艳,朱宏.针对山区点云的渐进加密三角网滤波改进算法[J].地理空间信息,2020(12).
释小松,程英蕾,赵中阳,秦先祥.基于三角网滤波和支持向量机的点云分类算法[J].激光与光电子学进展,2019(16).
Bui QuangThanh,Chou TienYin,Hoang ThanhVan,Fang YaoMin,Mu ChingYun,Huang PiHui,Pham VuDong,Nguyen QuocHuy,Anh Do Thi Ngoc,Pham VanManh,Meadows Michael E..Gradient Boosting Machine and Object-Based CNN for Land Cover Classification[J].Remote Sensing,2021(14).
Zhu Jianfeng,Sui Lichun,Zang Yufu,Zheng He,Jiang Wei,Zhong Mianqing,Ma Fei.Classification of Airborne Laser Scanning Point Cloud Using Point-Based Convolutional Neural Network[J].ISPRS International Journal of Geo-Information,2021.
Shichao Jin,Yanjun Su,Xiaoqian Zhao,Tianyu Hu,Qinghua Guo.A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2020.
Shangshu Cai,Wuming Zhang,Xinlian Liang,Peng Wan,Jianbo Qi,Sisi Yu,Guangjian Yan,Jie Shao.Filtering Airborne LiDAR Data Through Complementary Cloth Simulation and Progressive TIN Densification Filters[J].Remote Sensing,2019.
Qi Chen,Huan Wang,Hanchao Zhang,Mingwei Sun,Xiuguo Liu.A Point Cloud Filtering Approach to Generating DTMs for Steep Mountainous Areas and Adjacent Residential Areas[J].Remote Sensing,2016.
Ziyue Chen,Bing Xu,Bingbo Gao.An Image-Segmentation-Based Urban DTM Generation Method Using Airborne Lidar Data[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2016.
Joachim Niemeyer,Franz Rottensteiner,Uwe Soergel.Contextual classification of lidar data and building object detection in urban areas[J].ISPRS Journal of Photogrammetry and Remote Sensing,2014.
Almasi S. Maguya,Virpi Junttila,Tuomo Kauranne.Adaptive algorithm for large scale dtm interpolation from lidar data for forestry applications in steep forested terrain[J].ISPRS Journal of Photogrammetry and Remote Sensing,2013.
Jixian Zhang,Xiangguo Lin.Filtering airborne LiDAR data by embedding smoothness-constrained segmentation in progressive TIN densification[J].ISPRS Journal of Photogrammetry and Remote Sensing,2013.
Thomas J. Pingel,Keith C. Clarke,William A. McBride.An improved simple morphological filter for the terrain classification of airborne LIDAR data[J].ISPRS Journal of Photogrammetry and Remote Sensing,2013.
Domen Mongus,Borut Žalik.Parameter-free ground filtering of LiDAR data for automatic DTM generation[J].ISPRS Journal of Photogrammetry and Remote Sensing,2011.
J.L. Silván-Cárdenas,L. Wang.A multi-resolution approach for filtering LiDAR altimetry data[J].ISPRS Journal of Photogrammetry and Remote Sensing,2006.
R. Brennan,T L Webster.Object-oriented land cover classification of lidar-derived surfaces[J].Canadian Journal of Remote Sensing,2006.
Sagi Filin,Norbert Pfeifer.Segmentation of airborne laser scanning data using a slope adaptive neighborhood[J].ISPRS Journal of Photogrammetry and Remote Sensing,2005.
Keqi Zhang,Shu-Ching Chen,Whitman D.,Mei-Ling Shyu,Jianhua Yan,Chengcui Zhang.A progressive morphological filter for removing nonground measurements from airborne LIDAR data[J].IEEE Transactions on Geoscience and Remote Sensing,2003.
K. Kraus,N. Pfeifer.Determination of terrain models in wooded areas with airborne laser scanner data[J].ISPRS Journal of Photogrammetry and Remote Sensing,1998(4).
0
Views
166
下载量
0
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621