Reclassifying LIDAR Points by Selecting a Specified Elevation Range

Reclassifying LiDAR Points by selecting a specified elevation range involves filtering and reorganizing LiDAR data based on their elevation values. This process allows users to select points within a defined elevation range or to exclude unwanted points, such as noise or outliers that don't meet the desired criteria. Once filtered, the selected points are reclassified into different ASPRS categories, grouping them by elevation. For instance, points can be categorized into ranges that represent terrain features like ground, water, low vegetation, high vegetation, or other relevant landscape elements. This improves data accuracy and clarity for further analysis.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-20
DOI
https://doi.org/10.5281/zenodo.13822620
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
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article

Reclassifying LIDAR Points by Selecting a Specified Elevation Range

Zenodo (CERN European Organization for Nuclear Research)
Remote Sensing and LiDAR Applications
article

Reclassifying LIDAR Points by Selecting a Specified Elevation Range

article en

Abstract

Reclassifying LiDAR Points by selecting a specified elevation range involves filtering and reorganizing LiDAR data based on their elevation values. This process allows users to select points within a defined elevation range or to exclude unwanted points, such as noise or outliers that don't meet the desired criteria. Once filtered, the selected points are reclassified into different ASPRS categories, grouping them by elevation. For instance, points can be categorized into ranges that represent terrain features like ground, water, low vegetation, high vegetation, or other relevant landscape elements. This improves data accuracy and clarity for further analysis.

Zenodo (CERN European Organization for Nuclear Research)
Soft99 (Japan) (JP), Soft Imaging LLC (United States) (US)
Life in Land
Openalex Percentile: Top 73%
Remote Sensing and LiDAR Applications
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