The Application of Fast Fourier Transform Filtering to High Spatial Resolution Digital Terrain Models Derived from LiDAR Sensors for the Objective Mapping of Surface Features and Digital Terrain Model Evaluations

The Application of Fast Fourier Transform Filtering to High Spatial Resolution Digital Terrain Models Derived from LiDAR Sensors for the Objective Mapping of Surface Features and Digital Terrain Model Evaluations

In this paper, the application is investigated of fast Fourier transform filtering (FFT-FR) to high spatial resolution digital terrain models (HR-DTM) derived from LiDAR sensors, assessing its efficacy in identifying genuine relief elements, including both natural geological features and anthropogen...

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Bibliographic Details
Main Authors: Alberto González-Díez, Ignacio Díaz-Martínez, Pablo Cruz-Hernández, Antonio Barreda-Argüeso, Matthew Doughty
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Remote Sensing
Subjects:
fast Fourier transform filtering
DTM
ground truths
FGRMs
DSM
global accuracy
Online Access:https://www.mdpi.com/2072-4292/17/1/150
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