{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T21:21:41Z","timestamp":1780694501544,"version":"3.54.1"},"reference-count":35,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2016,6,15]],"date-time":"2016-06-15T00:00:00Z","timestamp":1465948800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2013CB733402"],"award-info":[{"award-number":["2013CB733402"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CAS Key Laboratory of Lunar and Deep Space Exploration","award":["YQSYS-HT-140630-1"],"award-info":[{"award-number":["YQSYS-HT-140630-1"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41171265"],"award-info":[{"award-number":["41171265"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41331171"],"award-info":[{"award-number":["41331171"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["40801131"],"award-info":[{"award-number":["40801131"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Separating point clouds into ground and non-ground measurements is an essential step to generate digital terrain models (DTMs) from airborne LiDAR (light detection and ranging) data. However, most filtering algorithms need to carefully set up a number of complicated parameters to achieve high accuracy. In this paper, we present a new filtering method which only needs a few easy-to-set integer and Boolean parameters. Within the proposed approach, a LiDAR point cloud is inverted, and then a rigid cloth is used to cover the inverted surface. By analyzing the interactions between the cloth nodes and the corresponding LiDAR points, the locations of the cloth nodes can be determined to generate an approximation of the ground surface. Finally, the ground points can be extracted from the LiDAR point cloud by comparing the original LiDAR points and the generated surface. Benchmark datasets provided by ISPRS (International Society for Photogrammetry and Remote Sensing) working Group III\/3 are used to validate the proposed filtering method, and the experimental results yield an average total error of 4.58%, which is comparable with most of the state-of-the-art filtering algorithms. The proposed easy-to-use filtering method may help the users without much experience to use LiDAR data and related technology in their own applications more easily.<\/jats:p>","DOI":"10.3390\/rs8060501","type":"journal-article","created":{"date-parts":[[2016,6,15]],"date-time":"2016-06-15T14:11:19Z","timestamp":1465999879000},"page":"501","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1352,"title":["An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation"],"prefix":"10.3390","volume":"8","author":[{"given":"Wuming","family":"Zhang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6601-7882","authenticated-orcid":false,"given":"Jianbo","family":"Qi","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5366-835X","authenticated-orcid":false,"given":"Peng","family":"Wan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongtao","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3923-6056","authenticated-orcid":false,"given":"Donghui","family":"Xie","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyan","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5030-748X","authenticated-orcid":false,"given":"Guangjian","family":"Yan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, School of Geography, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2016,6,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.rse.2006.10.013","article-title":"Repetitive interpolation: A robust algorithm for DTM generation from Aerial Laser Scanner Data in forested terrain","volume":"108","author":"Kobler","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_2","first-page":"935","article-title":"Slope based filtering of laser altimetry data","volume":"33","author":"Vosselman","year":"2000","journal-title":"Int. Arch. Photogramm. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"217","DOI":"10.14358\/PERS.71.2.217","article-title":"Urban DEM generation from raw lidar data","volume":"71","author":"Shan","year":"2005","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.isprsjprs.2008.09.001","article-title":"A multi-directional ground filtering algorithm for airborne LIDAR","volume":"64","author":"Meng","year":"2009","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_5","first-page":"203","article-title":"Filtering of laser altimetry data using a slope adaptive filter","volume":"34","author":"Sithole","year":"2001","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1804","DOI":"10.3390\/rs4061804","article-title":"Adaptive slope filtering of airborne LiDAR data in urban areas for digital terrain model (DTM) generation","volume":"4","author":"Susaki","year":"2012","journal-title":"Remote Sens."},{"key":"ref_7","unstructured":"Wang, C.K., and Tseng, Y.H. (2010, January 5\u20137). Dem generation from airborne LiDAR data by an adaptive dual-directional slope filter. Proceedings of the ISPRS Commission VII Mid-Term Symposium 100 Years ISPRS\u2014Advancing Remote Sensing Science, Vienna, Austria."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1177\/0309133308089496","article-title":"Airborne LiDAR for DEM generation: Some critical issues","volume":"32","author":"Liu","year":"2008","journal-title":"Progress Phys. Geogr."},{"key":"ref_9","first-page":"W19","article-title":"Filtering of airborne laser scanner data based on segmented point clouds","volume":"36","author":"Sithole","year":"2005","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"872","DOI":"10.1109\/TGRS.2003.810682","article-title":"A progressive morphological filter for removing nonground measurements from airborne LIDAR data","volume":"41","author":"Zhang","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"175","DOI":"10.14358\/PERS.73.2.175","article-title":"Filtering airborne laser scanning data with morphological methods","volume":"73","author":"Chen","year":"2007","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_12","first-page":"191","article-title":"Filtering Airborne LIDAR Data by AN Improved Morphological Method Based on Multi-Gradient Analysis","volume":"XL-1\/W1","author":"Li","year":"2013","journal-title":"ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"12885","DOI":"10.3390\/rs61212885","article-title":"An Improved Top-Hat Filter with Sloped Brim for Extracting Ground Points from Airborne Lidar Point Clouds","volume":"6","author":"Li","year":"2014","journal-title":"Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.isprsjprs.2013.12.002","article-title":"Ground and building extraction from LiDAR data based on differential morphological profiles and locally fitted surfaces","volume":"93","author":"Mongus","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.isprsjprs.2012.12.002","article-title":"An improved simple morphological filter for the terrain classification of airborne LIDAR data","volume":"77","author":"Pingel","year":"2013","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.isprsjprs.2011.10.002","article-title":"Parameter-free ground filtering of LiDAR data for automatic DTM generation","volume":"67","author":"Mongus","year":"2012","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_17","first-page":"111","article-title":"DEM generation from laser scanner data using adaptive TIN models","volume":"33","author":"Axelsson","year":"2000","journal-title":"Int. Arch. Photogramm. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.isprsjprs.2013.04.001","article-title":"Filtering airborne LiDAR data by embedding smoothness-constrained segmentation in progressive TIN densification","volume":"81","author":"Zhang","year":"2013","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/S0924-2716(98)00009-4","article-title":"Determination of terrain models in wooded areas with airborne laser scanner data","volume":"53","author":"Kraus","year":"1998","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_20","first-page":"31","article-title":"Interpolation of high quality ground models from laser scanner data in forested areas","volume":"32","author":"Pfeifer","year":"1999","journal-title":"Int. Arch. Photogramm. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.isprsjprs.2013.05.001","article-title":"A multiresolution hierarchical classification algorithm for filtering airborne LiDAR data","volume":"82","author":"Chen","year":"2013","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"3616","DOI":"10.1080\/01431161.2015.1065356","article-title":"A new hierarchical moving curve-fitting algorithm for filtering lidar data for automatic DTM generation","volume":"36","author":"Su","year":"2015","journal-title":"Int. J. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"35","DOI":"10.3390\/rs8010035","article-title":"An Improved Morphological Algorithm for Filtering Airborne LiDAR Point Cloud Based on Multi-Level Kriging Interpolation","volume":"8","author":"Hui","year":"2016","journal-title":"Remote Sens."},{"key":"ref_24","unstructured":"Elmqvist, M. (2000). Automatic Ground Modelling Using Laser Radar Data. [Master\u2019s Thesis, Link\u00f6ping University]."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1080\/01431161.2013.873833","article-title":"DEM generation from lidar data in wooded mountain areas by cross-section-plane analysis","volume":"35","author":"Guan","year":"2014","journal-title":"Int. J. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1145\/15886.15891","article-title":"The synthesis of cloth objects","volume":"20","author":"Weil","year":"1986","journal-title":"ACM Siggraph Comput. Graph."},{"key":"ref_27","unstructured":"Provot, X. (1995). Deformation Constraints in a Mass-Spring Model to Describe Rigid Cloth Behaviour, Canadian Information Processing Society. Graphics Interface."},{"key":"ref_28","unstructured":"Mosegaards Cloth Simulation Coding Tutorial. Available online: http:\/\/cg.alexandra.dk\/?p=147."},{"key":"ref_29","unstructured":"Girardeau-Montaut, D. (2011). Cloud Compare-Open Source Project, OpenSource Project."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.isprsjprs.2004.05.004","article-title":"Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds","volume":"59","author":"Sithole","year":"2004","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1177\/001316446002000104","article-title":"A coefficient of agreement for nominal scales","volume":"20","author":"Cohen","year":"1960","journal-title":"Educ. Psychol. Measur."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.isprsjprs.2014.02.014","article-title":"An adaptive surface filter for airborne laser scanning point clouds by means of regularization and bending energy","volume":"92","author":"Hu","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_33","unstructured":"Terrasolid, Ltd. (2010). TerraScan User\u2019s Guide, Terrasolid, Ltd."},{"key":"ref_34","unstructured":"Pfeifer, N., Stadler, P., and Briese, C. (2001, January 1\u20133). Derivation of digital terrain models in the SCOP++ environment. Proceedings of the OEEPE Workshop on Airborne Laserscanning and Interferometric SAR for Detailed Digital Terrain Models, Stockholm, Sweden."},{"key":"ref_35","unstructured":"CSF Software and Introduction. Available online: http:\/\/ramm.bnu.edu.cn\/researchers\/wumingzhang\/english\/default_contributions.htm."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/6\/501\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:25:30Z","timestamp":1760210730000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/6\/501"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6,15]]},"references-count":35,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2016,6]]}},"alternative-id":["rs8060501"],"URL":"https:\/\/doi.org\/10.3390\/rs8060501","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,6,15]]}}}