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An innovative approach is proposed for the extraction of the complex urban three dimensional feature efficiently and accurately. In this method, firstly, both the LiDAR data and the aerial images are ...
Riparian zones maintain water quality, support multiple geomorphic processes, contain significant biodiversity and also maintain the aesthetics of the landscape. Australian state and national govern...
In the recent years, the performance of LiDAR systems was improved by acquisition of the terrain surface with steadily increasing point densities. However, the main error sources affecting the quali...
Tree detection and tree crown delineation from Airborne LiDAR has been focusing mostly on utilizing the canopy height model (CHM). This paper presents a method for individual tree crown delineation ...
In this paper, a new method for estimation of vertical leaf area density (LAD) profile of tree canopy using portable scanning lidar is proposed. In this method, which we refer to as the voxel-based ...
This project has two main purposes; the first is to perform deciduous-coniferous classification for 65 trees by using the leaf-on single flight LiDAR data. It was done by looking at the geometrical ...
In times of higher market prices of fossil fuels and to meet the increasingly environmental and economic threads of climate change renewable energy must play a major role for global energy supply. Th...
In the last few years, LIDAR and image-matching techniques have been employed in many application fields because of their quickness in point cloud generation. Nevertheless, these techniques do not a...
Digital terrain model (DTM) is one of the important input parameters in urban flood application. This is because it influences the flow direction, flow velocity, flood extend and flood depth. LiDAR ...
LIDAR is a powerful remote sensing technology for acquisition of 3D information from terrain surface. Algorithms used for LIDAR data in urban area are used mostly to deal with the 3D points cloud an...
针对支持向量机应用于机载LiDAR点云数据分类时存在的模型稀疏性弱、预测结果缺乏概率意义、核函数必须满足Mercer定理等缺点,提出了一种基于相关向量机的LiDAR点云数据分类算法。在分析稀疏贝叶斯分类模型及参数推断、预测基础上,利用拉普拉斯方法将相关向量机分类问题转化为回归问题,通过最大化边缘似然函数估计超参数,选择序列稀疏贝叶斯学习方法提高训练速度,构造一对余、一对一分类器实现点云数据多元分类...
LiDAR systems have been established as technology for fast and high-resolution acquisition of 3D point clouds. In general, LiDAR data acquisition is conducted by private companies who are also respo...
The fusion of digital surfaces, their optimal combination into a new single dataset, is a crucial topic in the geomatic sciences. Nowadays, sensors and processing techniques provide for the same site...
In forest inventories, the species information is crucial for economical, ecological and technical reasons. Species recognition is currently a bottleneck in practical remote sensing applications. He...
The paper presents a procedure developed to calibrate the value of parameters used in algorithms that perform LiDAR’s data filtering.

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