Comparative Analysis of the Digital Terrain Models Extracted from Airborne LiDAR Point Clouds Using Different Filtering Approaches in Residential Landscapes

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ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org

"Comparative Analysis of the Digital Terrain Models Extracted from Airborne LiDAR Point Clouds Using Different Filtering Approaches in Residential Landscapes"
written by Fahmy F. F. Asal,
published by Advances in Remote Sensing, Vol.8 No.2, 2019

has been cited by the following article(s):

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[2]	Building Feature Extraction with Machine Learning: Geospatial Applications
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[3]	Point-Cloud Processing and Derivatives
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[4]	Determination of Point-to-Point 3D Routing Algorithm Using LiDAR Data for Noise Prediction
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[5]	A localized counter-based filtering approach for generating digital terrain model from medium resolution digital surface model
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[6]	Noise Prediction Using LIDAR 3D Point Data-Determination of Terrain Parameters for Modelling
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[7]	Digital Building-Height Preparation from Satellite Stereo Images
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[8]	Unmanned Aerial Systems for Building Footprint Extraction in Urban Are

[1]	A localized counter-based filtering approach for generating digital terrain model from medium resolution digital surface model Geocarto International, 2022 DOI:10.1080/10106049.2022.2076920

[2]	Determination of Point-to-Point 3D Routing Algorithm Using LiDAR Data for Noise Prediction Applied System Innovation, 2022 DOI:10.3390/asi5030058

[3]	Advances in Computing and Data Sciences Communications in Computer and Information Science, 2022 DOI:10.1007/978-3-031-12638-3_24

[4]	Point Cloud Technologies for Geomorphologists Springer Textbooks in Earth Sciences, Geography and Environment, 2022 DOI:10.1007/978-3-031-10975-1_3

[5]	A localized counter-based filtering approach for generating digital terrain model from medium resolution digital surface model Geocarto International, 2022 DOI:10.1080/10106049.2022.2076920

[6]	A localized counter-based filtering approach for generating digital terrain model from medium resolution digital surface model Geocarto International, 2022 DOI:10.1080/10106049.2022.2076920

[7]	Point Cloud Technologies for Geomorphologists Springer Textbooks in Earth Sciences, Geography and Environment, 2022 DOI:10.1007/978-3-031-10975-1_3

[8]	Determination of Point-to-Point 3D Routing Algorithm Using LiDAR Data for Noise Prediction Applied System Innovation, 2022 DOI:10.3390/asi5030058

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