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Coastal areas are characterized by high spatial and temporal variability. In order to detect undesired changes at early stages, enabling rapid countermeasures to mitigate or minimize potential harm or...
Multitemporal LiDAR data provide means for mapping structural changes in forest canopies. We demonstrate the use of area-based estimation method for snow damage assessment. Change features of bi-tempo...
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...
Airborne LIDAR point clouds, which have considerable points on object surfaces, are essential to building modeling. In the last two decades, studies have developed different approaches to identify str...
Growing demand for an efficient land use above and below the ground is motivating cadastre and land management systems to move from traditional 2D systems toward three dimensional ones. Airborne laser...
Laser scanning, whether airborne or terrestrial is being used nowadays for wide spectrum of applications. In addition, many advances have been introduced to the laser scanning technology in the last d...
从遥感影像中提取水体的传统方法在阴影处和水体浑浊处存在一定局限;机载激光雷达(LiDAR)获取点云数据时水体受阴影和浑浊的影响小,因此使用点云数据提取水体比使用影像数据更加稳健;但点云数据的分辨率低,所提取的轮廓线精度不高。为了提高水体边缘轮廓线的精确度,提出一种高分辨率影像与点云数据相结合的水体轮廓线提取方法。实验结果表明,该方法所提取的水体轮廓线定位精确、细节完好,水体提取准确率达到98.6%...
分析LiDAR数据处理流程,结合开放网格服务体系结构(OGSA),提出一种LiDAR数据处理平台体系,将数据处理任务合理划分并分配到各个分布的网格节点上,通过各节点并行、协同计算,达到提高运算速度的目的。最后以对激光点云重采样生成格网DEM为例,说明算法在该体系下的计算过程。

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