A Terrain-adaptive Airborne LiDAR Point Cloud Filtering Method Using Regularized TPS

Yongjun ZHANG; Xingbei HUANG; Xinyi LIU

doi:10.12082/dqxxkx.2020.190774

[1] et alA progressive morphological filter for removing nonground measurements from airborne LIDAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 41, 872-882(2003).

[2] 张刚, 刘文彬, 张男. 基于区域特征分割的密集匹配点云渐进形态学滤波[J]. 地球信息科学学报, 2019,21(4):615-622. [ ZhangG, LiuW B, ZhangN. Progressive morphological filtering method of dense matching point cloud based on region feature segmentation[J]. Journal of Geo-information Science, 2019,21(4):615-622. ] [ Zhang G, Liu W B, Zhang N. Progressive morphological filtering method of dense matching point cloud based on region feature segmentation[J]. Journal of Geo-information Science, 2019,21(4):615-622. ]

[3] Slope based filtering of laser altimetry data[J]. International Archives of Photogrammetry & Remote Sensing, 33, 935-942(2000).

[4] DEM generation from laser scanner data using adaptive TIN models[J]. International Archives of Photogrammetry and Remote Sensing, 33, 110-117(2000).

[5] 左志权, 张祖勋, 张剑清. 知识引导下的城区LiDAR点云高精度三角网渐进滤波方法[J]. 测绘学报, 2012,41(2):92-97. [ ZuoZ Q, ZhangZ X, ZhangJ Q. A high-quality filtering method with adaptive TIN models for urban LiDAR points based on priori-knowledge[J]. Acta Geodaetica et Cartographica Sinica, 2012,41(2):92-97. ] [ Zuo Z Q, Zhang Z X, Zhang J Q. A high-quality filtering method with adaptive TIN models for urban LiDAR points based on priori-knowledge[J]. Acta Geodaetica et Cartographica Sinica, 2012,41(2):92-97. ]

[6] et alFiltering of airborne LiDAR point cloud data based on progressive TIN[J]. Geomatics and Information Science of Wuhan University, 36, 1159-1163(2011).

[7] Determination of terrain models in wooded areas with airborne laser scanner data[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 53, 193-203(1998).

[8] Segmentation-based filtering of airborne LiDAR point clouds by progressive densification of terrain segments[J]. Remote Sensing, 6, 1294-1326(2014).

[9] 李沛婷, 赵庆展, 陈洪. 回波强度约束下的无人机LiDAR点云K-means聚类滤波[J]. 地球信息科学学报, 2018,20(4):471-479. [ LiP T, ZhaoQ Z, ChenH. Filtering UAV LiDAR point cloud with K-means clustering under the constraint of echo intensity[J]. Journal of Geo-information Science, 2018,20(4):471-479.] [ Li P T, Zhao Q Z, Chen H. Filtering UAV LiDAR point cloud with K-means clustering under the constraint of echo intensity[J]. Journal of Geo-information Science, 2018,20(4):471-479.]

[10] 刘凯斯, 王彦兵, 宫辉力, 等. 机载LiDAR点云数据的二面角滤波算法[J]. 地球信息科学学报, 2018,20(4):414-421. [ LiuK S, WangY B, GongH L, et al. Dihedral angle filtering algorithm for airborne LiDAR point cloud data[J]. Journal of Geo-information Science, 2018,20(4):414-421.] [ Liu K S, Wang Y B, Gong H L, et al. Dihedral angle filtering algorithm for airborne LiDAR point cloud data[J]. Journal of Geo-information Science, 2018,20(4):414-421.]

[11] Experimental comparison of filter algorithms for bare-earth extraction from airborne laser scanning point clouds[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 59, 85-101(2004).

[12] et alAn easy-to-use airborne LiDAR data filtering method based on cloth simulation[J]. Remote Sensing, 8, 501(2016).

[13] Deep-learning-based classification for DTM extraction from ALS point cloud[J]. Remote Sensing, 8, 730(2016).

[14] et alGround and multi-class classification of airborne laser scanner point clouds using fully convolutional networks[J]. Remote Sensing, 10, 1723(2018).

[15] Ground point filtering from airborne LiDAR point clouds using deep learning: a preliminary study[J]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences(2019).

[16] Parameter-free ground filtering of LiDAR data for automatic DTM generation[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 67, 1-12(2012).

[17] et alA multiresolution hierarchical classification algorithm for filtering airborne LiDAR data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 82, 1-9(2013).

[18] et alAn improved multi-resolution hierarchical classification method based on robust segmentation for filtering ALS point clouds[J]. International Journal of Remote Sensing, 37, 950-968(2016).

[19] et alAn adaptive surface filter for airborne laser scanning point clouds by means of regularization and bending energy[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 92, 98-111(2014).

[20] 赵宗泽, 张永军. 基于植被指数限制分水岭算法的机载激光点云建筑物提取[J]. 光学学报, 2016,36(10):1028002. [ ZhaoZ Z, ZhangY J. Building extraction from airborne laser point cloud using NDVI constrained watershed algorithm[J]. Acta Optica Sinica, 2016,36(10):1028002. ] [ Zhao Z Z, Zhang Y J. Building extraction from airborne laser point cloud using NDVI constrained watershed algorithm[J]. Acta Optica Sinica, 2016,36(10):1028002. ]

[21] et alLSD: A line segment detector,[J]. Image Processing On Line, 2, 35-55(2012).