Results 101 to 110 of about 607 (129)

DTM error minimization via adaptive smoothing [LIDAR forest measurements]

IEEE International Geoscience and Remote Sensing Symposium, 2003
Airborne light detection and ranging (LIDAR) is emerging as a tool to provide accurate digital terrain models (DTMs) of forest areas since it can measure bare earth beneath the canopy. In an attempt to minimize the error in generating DTMs, an adaptive smoothing technique is presented.
Nicolas H. Younan, Hyun S. Lee, Roger L. King   +2 more
openaire   +1 more source

Utilization of LiDAR DTM for Systematic Improvement in Mapping and Classification of Coastal Micro-Geomorphology

Journal of the Indian Society of Remote Sensing, 2020
The dynamicity of the coastal landforms necessitates monitoring from space-borne or aerial remote sensing platforms. Precise elevation information is an important requirement to delineate the subtle topographic variations along and across the coastal axes, indicative of coastal geomorphology at large scale.
Swati Singh, M Jagannadha Rao, K Vinod Kumar   +2 more
exaly   +2 more sources

Parameter-free ground filtering of LiDAR data for automatic DTM generation

ISPRS Journal of Photogrammetry and Remote Sensing, 2012
This paper considers a new method for the automatic generation of digital terrain models from LiDAR data. The method iterates a thin plate spline interpolated surface towards the ground, while points’ residuals from the surface are inspected at each iteration, with a gradually decreasing window size.
Domen Mongus, Borut Zalik
exaly   +2 more sources

The Sediment Budgets Evaluation in a Basin Using LiDAR DTMs

2014
In this study, a basin with an area of 20 km2 was chosen as the study area to more quantitatively understand the temporal and spatial variation of the rainfall-induced sediment volume changes during a period. The 2 m high-resolution DTMs derived from airborne LiDAR data acquired in 2005 and 2010 were used to characterize sediment yield and sediment ...
Chih-Ming Tseng, Ching-Weei Lin, Kuo-Jen Chang   +2 more
openaire   +1 more source

Automated DTM Generation in Urban Areas with Airborne LiDAR Data

2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, 2012
This paper proposes a new method for the automatic generation of a digital terrain model (DTM) from airborne laser scanning technique. First, generate regular grids, and then filter the points on each regular grid. Finally, change the size of grid and filter these points on the new grids repeatedly.
Junhua Xiong, Yuanmin Fang, Baoxuan Jin, Zhenfeng Zhao   +3 more
openaire   +1 more source

A mathematical morphology-based multi-level filter of LiDAR data for generating DTMs

Science China Information Sciences, 2012
Light detecting and ranging (LiDAR) technology has become an effective way to generate high-resolution digital terrain models (DTMs). To generate DTMs, point measurements from non-ground features, such as buildings, vegetation and vehicles, have to be identified and removed while preserving the terrain points.
Dong Chen 0009, Liqiang Zhang 0001, Zhen Wang 0032, Hao Deng 0004   +3 more
openaire   +1 more source

A curvature-based statistical method for generating DTM from LiDAR Point Cloud

2012 20th International Conference on Geoinformatics, 2012
The result of Skewness Balancing based on elevation(SBE) contains non-ground points, which involve low vegetation, vehicle, and side of buildings. According to this problem, this paper proposes an algorithm to improve the precision of automatic filter and reduce the commission error.
Jianhua Wan, Ronggang Huang, Zhe Zeng 0003, Shujuan Sun   +3 more
openaire   +1 more source

Automatic DTM extraction from airborne LiDAR based on expectation-maximization

Optics & Laser Technology, 2019
Abstract Filtering of ground points is a key step for most applications of airborne LiDAR point clouds. Although many filtering algorithms have been proposed in recent years, most of them suffer from parameter setting or thresholds fine-tuning. This is most often time-consuming and reduces the degree of automation of the applied algorithm.
Zhenyang Hui, Dajun Li, Shuanggen Jin, Yao Yevenyo Ziggah, Leyang Wang, Youjian Hu   +5 more
openaire   +1 more source

Mapping forest canopy height using TanDEM-X DSM and airborne LiDAR DTM

2014 IEEE Geoscience and Remote Sensing Symposium, 2014
This study assesses the potential of single-pass TanDEM-X interferometric SAR (InSAR) data to map forest canopy height, when a corresponding accurate digital terrain model (DTM) is available. In the proposed method, the forest canopy height model (CHM) is extracted by subtracting an airborne lidar DTM from the TanDEM-X digital surface model (DSM).
Yaser Sadeghi, Benoît St-Onge, Brigitte Leblon, Marc Simard, Kostas Papathanassiou   +4 more
openaire   +1 more source

Irrigation network extraction methodology from LiDAR DTM using Whitebox and ArcGIS

SPIE Proceedings, 2016
Irrigation networks are important in distributing water resources to areas where rainfall is not enough to sustain agriculture. They are also crucial when it comes to being able to redirect vast amounts of water to decrease the risks of flooding in flat areas, especially near sources of water.
M. A. P. Mahor, R. M. De La Cruz, N. T. Olfindo, A. M. C. Perez   +3 more
openaire   +1 more source