Automatic Extraction of Road Points from Airborne LiDAR Based on Bidirectional Skewness Balancing
نویسندگان
چکیده
منابع مشابه
A Voxel-Based Skewness and Kurtosis Balancing Algorithm for Updating Road Networks from Airborne Lidar Data
In this paper, we proposed a road extraction algorithm that utilises voxel-based skewness and kurtosis balancing in order to update existing road networks accurately and reliably from airborne lidar data. The proposed algorithm consists of initial road extraction followed by a series of refinements including width constraints, spatial interpolations and curve fitting which are successfully impl...
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LiDAR is the powerful Remote Sensing Technology for the acquisition of 3D information from terrain surface. This paper surveys the state of the art on automated road feature extraction from airborne Light Detection and Ranging (LiDAR) data. It presents a bibliography of nearly 50 references related to this topic. This includes work related to various main approaches used for extracting road fro...
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Road data in 3-dimensional forms is required for a variety of geospatial applications e.g. road maintenance, transport planning and location-based services. Although airborne lidar can produce dense point clouds from which 3-dimensional road information can be retrieved in detail, lidar data is often incomplete due to the line-of-sight requirement, and therefore a better result of information e...
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The aim of the research has been the developing and implementing an algorithm for automated extraction of features from LIDAR scenes with varying terrain and coverage types. This applies the moment of third order (Skweness) and fourth order (Kurtosis). While the first has been applied in order to produce an initial filtering and data classification, the second, through the introduction of the w...
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Automatic extraction of roads is a present research topic. Many applications like topographic mapping, navigation applications, or image registration could profit from such algorithms. This paper is concerned with automatic road extraction from synthetic aperture radar (SAR) imagery. An approach originally developed for the extraction of roads in rural areas from optical imagery with a ground p...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2020
ISSN: 2072-4292
DOI: 10.3390/rs12122025