{"id":2780072,"date":"2025-05-14T21:02:45","date_gmt":"2025-05-15T04:02:45","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2780072"},"modified":"2025-05-14T21:02:45","modified_gmt":"2025-05-15T04:02:45","slug":"classify-rail-points-in-mobile-lidar-point-clouds","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/3d-gis\/3d-gis\/classify-rail-points-in-mobile-lidar-point-clouds","title":{"rendered":"Classify rail points in mobile lidar point clouds"},"author":9692,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23771,22931,23351],"tags":[777362,24381,777712],"industry":[],"product":[36561],"class_list":["post-2780072","blog","type-blog","status-publish","format-standard","hentry","category-3d-gis","category-imagery","category-transportation","tag-feature-extraction","tag-lidar","tag-rails","product-arcgis-pro"],"acf":{"authors":[{"ID":9692,"user_firstname":"Jie","user_lastname":"Chang","nickname":"Jie Chang","user_nicename":"jchang","display_name":"Jie Chang","user_email":"JChang@esri.com","user_url":"","user_registered":"2019-06-26 21:13:09","user_description":"Jie is an Esri Software Product Engineer for 3D Analysis. He has over 10 years of experience in 3D, lidar, imagery, spatial analysis, deep learning, and Web GIS. Jie received his Ph.D. in Geospatial Information Sciences from the University of Texas at Dallas in 2011.","user_avatar":"<img alt='' src='https:\/\/secure.gravatar.com\/avatar\/eacefc002e3897dda4a2b5f63bfbf137b4ed80f8320c100664cf8ed1d5e4d0c4?s=96&#038;d=blank&#038;r=g' srcset='https:\/\/secure.gravatar.com\/avatar\/eacefc002e3897dda4a2b5f63bfbf137b4ed80f8320c100664cf8ed1d5e4d0c4?s=192&#038;d=blank&#038;r=g 2x' class='avatar avatar-96 photo' height='96' width='96' loading='lazy' decoding='async'\/>"},{"ID":7471,"user_firstname":"Alexander","user_lastname":"Gribov","nickname":"Alexander Gribov","user_nicename":"alexander-gribov","display_name":"Alexander Gribov","user_email":"agribov@esri.com","user_url":"","user_registered":"2018-03-21 18:21:20","user_description":"","user_avatar":"<img alt='' src='https:\/\/secure.gravatar.com\/avatar\/b803c48dfbaf6aded2605f2a4ca72e086357ff7dfc21934f8008c8a972652aa5?s=96&#038;d=blank&#038;r=g' srcset='https:\/\/secure.gravatar.com\/avatar\/b803c48dfbaf6aded2605f2a4ca72e086357ff7dfc21934f8008c8a972652aa5?s=192&#038;d=blank&#038;r=g 2x' class='avatar avatar-96 photo' height='96' width='96' loading='lazy' decoding='async'\/>"}],"related_articles":"","show_article_image":false,"card_image":false,"wide_image":false,"short_description":"This blog introduces the Rail Selection tool, explains how it works, and shares tips for using it effectively.","flexible_content":[{"acf_fc_layout":"content","content":"<p>ArcGIS Pro 3.5 introduces a Rail Selection tool that facilitates the interactive classification of points captured along rail tracks in mobile lidar point clouds. This blog article briefly describes how the rail selection process works and shares tips for using it effectively.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Before you begin<\/strong><\/p>\n<p>Mobile lidar point clouds can be extremely dense or stored in large files, which may negatively impact display and analysis performance. To improve efficiency, it\u2019s recommended to apply <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/3d-analyst\/use-tiling-and-thinning-to-optimize-point-clouds.htm\">tiling and thinning<\/a> techniques to ensure an appropriate tile size and point density. Additionally, building <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/data\/las-dataset\/las-dataset-pyramids.htm\">pyramids<\/a> can significantly improve display performance. Dense rail data without pyramids may render much more slowly.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Use the Rail Selection tool<\/strong><\/p>\n<p>To use the Rail Selection tool, complete the following steps:<\/p>\n<ol>\n<li>In the local scene, select a LAS dataset layer in the <strong>Contents<\/strong>.<\/li>\n<li>On the <strong>Classification<\/strong> tab in the ribbon, in the <strong>Selection<\/strong> group, click <strong>Select &gt; Rail<\/strong>.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<p>This opens the <strong>Rail Selection<\/strong> tool window, where you\u2019ll find primary and additional parameters with default values. While these defaults are generally sufficient, you may need to adjust them to accommodate data noise, track types, or more complex conditions, such as low-quality data, sharp curves, and at-grade crossings.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2780372,"id":2780372,"title":"RailSelectionUI","filename":"RailSelectionUI.png","filesize":18296,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionUI.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/3d-gis\/3d-gis\/classify-rail-points-in-mobile-lidar-point-clouds\/railselectionui","alt":"Figure 1: User interface of the Rail Selection tool.","author":"9692","description":"","caption":"Figure 1: UI of the Rail Selection tool.","name":"railselectionui","status":"inherit","uploaded_to":2780072,"date":"2025-05-01 20:15:59","modified":"2025-05-01 20:25:37","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":294,"height":383,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionUI-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionUI.png","medium-width":200,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionUI.png","medium_large-width":294,"medium_large-height":383,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionUI.png","large-width":294,"large-height":383,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionUI.png","1536x1536-width":294,"1536x1536-height":383,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionUI.png","2048x2048-width":294,"2048x2048-height":383,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionUI.png","card_image-width":294,"card_image-height":383,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionUI.png","wide_image-width":294,"wide_image-height":383}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>&nbsp;<\/p>\n<ol start=\"3\">\n<li>To start the selection, either double-click a rail point, draw a short line along the track, or sketch a small polygon around a rail segment.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<p>Upon completion of the selection, the count of selected rail points is displayed at the bottom of the view. A spinning wheel on the right indicates the progress of rendering the selection. Drawing may take a long time if a large number of points are selected.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2780382,"id":2780382,"title":"RailSelectionStatus","filename":"RailSelectionStatus.png","filesize":3727,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionStatus.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/3d-gis\/3d-gis\/classify-rail-points-in-mobile-lidar-point-clouds\/railselectionstatus","alt":"Figure 2: Status bar showing the number of selected rail points with a spinning wheel indicating drawing in progress.","author":"9692","description":"","caption":"Figure 2: The number of selected rail points is displayed in the status bar, and the spinning wheel indicates that drawing is in progress.","name":"railselectionstatus","status":"inherit","uploaded_to":2780072,"date":"2025-05-01 20:20:00","modified":"2025-05-01 20:24:53","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":321,"height":31,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionStatus-213x31.png","thumbnail-width":213,"thumbnail-height":31,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionStatus.png","medium-width":321,"medium-height":31,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionStatus.png","medium_large-width":321,"medium_large-height":31,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionStatus.png","large-width":321,"large-height":31,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionStatus.png","1536x1536-width":321,"1536x1536-height":31,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionStatus.png","2048x2048-width":321,"2048x2048-height":31,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionStatus.png","card_image-width":321,"card_image-height":31,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionStatus.png","wide_image-width":321,"wide_image-height":31}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>&nbsp;<\/p>\n<p>Once the wheel stops spinning, the selected points are rendered, and the spinning wheel reverts to a refresh button.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2780752,"id":2780752,"title":"SelectedRailPoints","filename":"SelectedRailPoints.png","filesize":310442,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SelectedRailPoints.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/3d-gis\/3d-gis\/classify-rail-points-in-mobile-lidar-point-clouds\/selectedrailpoints","alt":"Figure 3: Selected rail points drawn in cyan.","author":"9692","description":"","caption":"Figure 3: Selected rail points are drawn in cyan. The spinning wheel has reverted to the refresh button, indicating the drawing is complete. Data courtesy of Esri India.","name":"selectedrailpoints","status":"inherit","uploaded_to":2780072,"date":"2025-05-01 22:30:46","modified":"2025-05-01 22:37:23","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":524,"height":594,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SelectedRailPoints-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SelectedRailPoints.png","medium-width":230,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SelectedRailPoints.png","medium_large-width":524,"medium_large-height":594,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SelectedRailPoints.png","large-width":524,"large-height":594,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SelectedRailPoints.png","1536x1536-width":524,"1536x1536-height":594,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SelectedRailPoints.png","2048x2048-width":524,"2048x2048-height":594,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SelectedRailPoints-410x465.png","card_image-width":410,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SelectedRailPoints.png","wide_image-width":524,"wide_image-height":594}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>&nbsp;<\/p>\n<p>After you\u2019ve verified that the selected points correctly represent rails, you can assign them a class code (typically 10 for rail).<\/p>\n<ol start=\"4\">\n<li>Go to the <strong>Interactive Editing<\/strong> group on the <strong>Classification<\/strong>.<\/li>\n<li>From the <strong>Classification Code<\/strong> drop-down list, select <strong>10 Rail<\/strong>.<\/li>\n<li>Click the <strong>Apply Changes<\/strong>.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2780772,"id":2780772,"title":"SetRailClassCode","filename":"SetRailClassCode.png","filesize":10673,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SetRailClassCode.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/3d-gis\/3d-gis\/classify-rail-points-in-mobile-lidar-point-clouds\/setrailclasscode","alt":"Figure 4: Assign class code to the selected rail points.","author":"9692","description":"","caption":"Figure 4: Interactive editing: Class code 10 is assigned to the selected points","name":"setrailclasscode","status":"inherit","uploaded_to":2780072,"date":"2025-05-01 22:38:29","modified":"2025-05-01 22:40:26","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":474,"height":167,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SetRailClassCode-213x167.png","thumbnail-width":213,"thumbnail-height":167,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SetRailClassCode.png","medium-width":464,"medium-height":163,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SetRailClassCode.png","medium_large-width":474,"medium_large-height":167,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SetRailClassCode.png","large-width":474,"large-height":167,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SetRailClassCode.png","1536x1536-width":474,"1536x1536-height":167,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SetRailClassCode.png","2048x2048-width":474,"2048x2048-height":167,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SetRailClassCode.png","card_image-width":474,"card_image-height":167,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/SetRailClassCode.png","wide_image-width":474,"wide_image-height":167}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>&nbsp;<\/p>\n<p><strong>Understand the rail points selection process<\/strong><\/p>\n<p>The rail selection process begins by identifying seeds. The tool evaluates the selected points and determines whether they qualify as seeds.<\/p>\n<p>Once the seeds are established, the tool constructs an active set of points that functions as a moving window, which searches for nearby points and adds those that are evaluated as rail. When the moving window exceeds the specified rail moving length, it splits into two windows that then move in opposite directions along the rail. As each window advances, it searches for candidate rail points within a specified search radius from the front of the window.<\/p>\n<p>Points are iteratively added to the active set if they meet all of the following criteria:<\/p>\n<ul>\n<li>Points fall within the specified rail thickness.<\/li>\n<li>Points have neighboring points below them by at least the vertical threshold.<\/li>\n<li>Points are within the vertical tolerance of the established rail level in the current set.<\/li>\n<\/ul>\n<p>The selection process stops when no additional points within the search radius qualify as rail, or when the maximum length is reached. All points added to active sets make up the final rail selection. Fig. 5 illustrates the parameters used in the rail selection process.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2780782,"id":2780782,"title":"RailSelectionIllustration","filename":"RailSelectionIllustration.png","filesize":43382,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionIllustration.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/3d-gis\/3d-gis\/classify-rail-points-in-mobile-lidar-point-clouds\/railselectionillustration","alt":"Figure 5: Parameter illustration.","author":"9692","description":"","caption":"Figure 5: Parameters illustrated in the top and side views.","name":"railselectionillustration","status":"inherit","uploaded_to":2780072,"date":"2025-05-01 22:41:09","modified":"2025-05-01 22:43:11","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":664,"height":459,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionIllustration-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionIllustration.png","medium-width":378,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionIllustration.png","medium_large-width":664,"medium_large-height":459,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionIllustration.png","large-width":664,"large-height":459,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionIllustration.png","1536x1536-width":664,"1536x1536-height":459,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionIllustration.png","2048x2048-width":664,"2048x2048-height":459,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionIllustration.png","card_image-width":664,"card_image-height":459,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/RailSelectionIllustration.png","wide_image-width":664,"wide_image-height":459}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>&nbsp;<\/p>\n<p><strong>Recommendations and tips<\/strong><\/p>\n<p>To use the Rail Selection tool effectively, it is important to understand how each parameter affects its behavior. The following recommendations and tips provide best practices for setting up and using the tool, helping you avoid common pitfalls and achieve accurate, reliable results.<\/p>\n<ul>\n<li>Ground points are essential for the algorithm to evaluate and identify rail points and must remain in the layer without being filtered out. While classification is not required, it is recommended that you classify the ground points.<\/li>\n<\/ul>\n<p><em style=\"font-size: 15px\">Other above-ground points can be filtered out to improve display performance. For example, you can use the <strong>Elevation\u00a0 Range<\/strong> filter to remove high points such as power lines and bridge decks or apply the <strong>Classification<\/strong> filter to exclude\u00a0 vegetation points if they have already been classified.<\/em><\/p>\n<ul>\n<li>The tool processes full-resolution data regardless of displayed level of details (LOD), so it\u2019s not necessary to display the data in full resolution during selection.<\/li>\n<li>Adjust <strong>Vertical Tolerance<\/strong> based on the noise level in the data. Use a larger value for noisier data.<\/li>\n<li>Set <strong>Rail Thickness<\/strong> according to the actual rail type. If edge points are not selected, try increasing the value. If points beyond rail edges are included in the selection, try decreasing the value.<\/li>\n<li><strong>Maximum Length<\/strong> defines the maximum allowable distance in each direction from the initial seed points. While you can select very long rail segments, keep in mind that processing time increases linearly with length. Adjust the maximum length as needed to keep reasonable processing times.<\/li>\n<li>The <strong>Search Radius<\/strong> value should be large enough to bridge gaps along the rail. However, setting this value too high can significantly slow down the selection process.<\/li>\n<li>A larger <strong>Rail Moving Length<\/strong> value is recommended for selecting points on straight rails. When having problems selecting points on curves, try decreasing the value.<\/li>\n<li><strong>Vertical Threshold<\/strong> defines the minimum above-ground distance for a point to qualify as a rail point. Use a smaller value for lower tracks and a larger value for higher tracks.<\/li>\n<\/ul>\n<p><em style=\"font-size: 15px\">Selecting rail points at-grade crossings is challenging, as the ground and rail are at the same height with only a shallow groove along the inner rail for the wheel flange. In this case, a smaller vertical threshold and a longer rail moving length should be used.<\/em><\/p>\n<ul>\n<li>The tool continually checks for outliers. If the count of outliers within the window is below the specified <strong>Outlier Limit <\/strong>value, they are ignored. If it exceeds the limit, the outliers are treated as rail points, which lead to elevated rail profile or even halt the selection process.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>After selecting the rail points, use the Interactive Editing tool to assign a class code. The classified rail points can serve as training data for <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/data\/las-dataset\/train-a-point-cloud-model-with-deep-learning.htm\">deep learning models<\/a>. Once rail points are classified, you can extract rails and centerlines from them. For more details, refer to the <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/3d-gis\/extract-rails-and-centerlines-from-mobile-lidar-point-clouds\">Extract rails and centerlines from mobile lidar point clouds<\/a> blog article.<\/p>\n<p>&nbsp;<\/p>\n"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Classify rail points in mobile lidar point clouds<\/title>\n<meta name=\"description\" content=\"Lean how to interactively select and classify rail points in mobile lidar point clouds.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/3d-gis\/3d-gis\/classify-rail-points-in-mobile-lidar-point-clouds\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Classify rail points in mobile lidar point clouds\" \/>\n<meta property=\"og:description\" content=\"Lean how to interactively select and classify rail points in mobile lidar point clouds.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/arcgis-blog\/products\/3d-gis\/3d-gis\/classify-rail-points-in-mobile-lidar-point-clouds\" \/>\n<meta property=\"og:site_name\" content=\"ArcGIS Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/esrigis\/\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@ESRI\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":[\"Article\",\"BlogPosting\"],\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/3d-gis\/3d-gis\/classify-rail-points-in-mobile-lidar-point-clouds#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/3d-gis\/3d-gis\/classify-rail-points-in-mobile-lidar-point-clouds\"},\"author\":{\"name\":\"Jie Chang\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/3f65ed3bf464b5a59f1e68c6f849a90e\"},\"headline\":\"Classify rail points in mobile lidar point clouds\",\"datePublished\":\"2025-05-15T04:02:45+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/3d-gis\/3d-gis\/classify-rail-points-in-mobile-lidar-point-clouds\"},\"wordCount\":8,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#organization\"},\"keywords\":[\"Feature Extraction\",\"Lidar\",\"rails\"],\"articleSection\":[\"3D Visualization &amp; 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