一种针对激光雷达强度图像的滤波算法研究

基于激光雷达数据的特点,提出了一种融合的中值滤波算法。运用此算法和传统的中值滤波算法以 及均值算法对激光雷达数据进行了处理,并且使用多种指标对处理的结果进行了比较,证明本算法既保持了 传统中值滤波的优点,又改进了对弱边缘目标的保护     

地面三维激光扫描技术的发展与应用前景

地面三维激光扫描技术可以快速地获取目标的高精度三维点云数据,在数字城市、数字考古、数字交通、数字管线及数字医学等行业得到了初步应用,显示了这一技术的广阔应用前景和蕴含的巨大经济价值.     

多值体素连通区域构建下的机载LIDAR数据三维平面提取

针对现有的面向机载LIDAR数据的三维平面提取算法存在的基于离散激光点设计导致算法设计困难、仅利用几何特征的一致性导致的在平面平滑过渡区域易产生错误提取的问题,本文提出了一种多值体素连通区域构建下的机载LIDAR三维平面提取方法.该算法基于体素结构设计且综合利用了机载LIDAR数据的几何、激光反射强度信息,将传统的平面...     

激光雷达点云平面拟合过滤算法

在分析激光雷达点云空间分布特征的基础上,提出了基于斜率的激光点云平面拟合过滤算法,并利用该算法对机载激光雷达点云的特征提取进行了实验研究。结果表明,此算法能有效地拟合激光点云的连续平滑的水平平面、倾斜平面和垂直平面,在DTM、建筑屋顶和垂直墙壁等特征提取中具有较好的效果。     

机载激光雷达点云的阶层式分类

激光雷达是一种快速获得高密度高精度的三维数字地面信息的新技术。本文介绍了几种激光雷达数据过滤算法,提出了激光雷达点云数据的阶层式分类策略,并将基于航拍影像数据进行着色后的机载激光雷达点云数据作为研究对象,对其应用激光雷达数据过滤算法进行阶层式分类。实验结果表明,此种方法能有效地对大部分地物信息进行过滤和分类。     

Controls on coastal dune morphology, shoreline erosion and barrier island response to extreme storms

The response of a barrier island to an extreme storm depends in part on the surge elevation relative to the height and extent of the foredunes which can exhibit considerable variability alongshore. While it is recognized that alongshore variations in dune height and width direct barrier island response to storm surge, the underlying causes of the alongshore variation remain poorly understood. This study examines the alongshore variation in dune morphology along a 11 km stretch of Santa Rosa Island in northwest Florida and relates the variation in morphology to the response of the island during Hurricane Ivan and historic and storm-related rates of shoreline erosion. The morphology of the foredune and backbarrier dunes was characterized before and after Hurricane Ivan using Empirical Orthogonal Function (EOF) analysis and related through Canonical Correlation Analysis (CCA). The height and extent of the foredune, and the presence and relative location of the backbarrier dunes, varied alongshore at discrete length scales (of ~ 750, 1450 and 4550 m) that are statistically significant at the 95% confidence level. Cospectral analysis suggests that the variation in dune morphology is correlated with transverse ridges on the inner-shelf, the backbarrier cuspate headlands, and the historical and storm-related trends in shoreline change. Sections of the coast with little to no dune development before Hurricane Ivan were observed in the narrowest portions of the island (between headlands), west of the transverse ridges. Overwash penetration tended to be larger in these areas and island breaching was common, leaving the surface close to the watertable and covered by a lag of shell and gravel. In contrast, large foredunes and the backbarrier dunes were observed at the widest sections of the island (the cuspate headlands) and at crest of the transverse ridges. Due to the large dunes and the presence of the backbarrier dunes, these areas experienced less overwash penetration and most of the sediment from the beachface and dunes was deposited within the upper-shoreface. It is argued that this sediment is returned to the beachface through nearshore bar migration following the storm and that the areas with larger foredunes and backbarrier dunes have smaller rates of historical shoreline erosion compared to areas with smaller dunes and greater transfer of sediment to the washover terrace. Since the recovery of the dunes will vary depending on the availability of sediment from the washover and beachface, it is further argued that the alongshore pattern of dune morphology and the response of the island to the next extreme storm is forced by the transverse ridges and island width through alongshore variations in storm surge and overwash gradients respectively. These findings may be particularly important for coastal managers involved in the repair and rebuilding of coastal infrastructure that was damaged or destroyed during Hurricane Ivan.     

LIDAR数据的过滤方法探讨

过滤是LIDAR数据预处理的重要步骤,过滤的目的是把LIDAR数据分成地面点和非地面点,它是获取高精度数字高程模型的关键。详细分析、研究了常用的LIDAR数据过滤方法,并对其中的最大局部倾斜度过滤方法进行了一定的改进。     

机载LIDAR系统的回波探测原理及其测高精度分析

从回波探测的原理和激光测高的计算模型出发,分析了激光测高的误差来源,认为主要影响因子是GPS差分精度、IMU精度和激光测距精度。通过对航高在1000m以下的实际检测数据进行统计分析,得出如下结论:1)单个激光点的精度可以达到15cm,通过地面改正,最优精度可以达到5cm;2)在植被比较密集区域,根据激光点的扫面密度不同,其生成的DEM精度可以达到0.20m～1m。     

基于LIDAR数据的建筑物提取和三维重建的研究进展

本文阐述了基于LIDAR数据提取建筑物以及对其三维重建的一般过程,着重介绍LIDAR数据中建筑物信息提取的有关算法以及进行三维重建的可行性方法.     

Application of multispectral LiDAR to automated virtual outcrop geology

Terrestrial laser scanning (TLS) is a valuable tool for creating virtual 3D models of geological outcrops to enable enhanced modeling and analysis of geologic strata. Application of TLS data is typically limited to the geometric point cloud that is used to create the 3D structure of the outcrop model. Digital photography can then be draped onto the 3D model, allowing visual identification and manual spatial delineation of different rock layers. Automation of the rock type identification and delineation is desirable, and recent work has investigated the use of terrestrial hyperspectral photography for this purpose. However, passive photography, whether visible or hyperspectral, presents several complexities, including accurate spatial registration with the TLS point cloud data, reliance on sunlight for illumination, and radiometric calibration to properly extract spectral signatures of the different rock types. As an active remote sensing method, a radiometrically calibrated TLS system offers the potential to directly provide spectral information for each recorded 3D point, independent of solar illumination. Therefore, the practical application of three radiometrically calibrated TLS systems with differing laser wavelengths, thereby achieving a multispectral dataset in conjunction with 3D point cloud data, is investigated using commercially available hardware and software. The radiometric calibration of the TLS intensity values is investigated and the classification performance of the multispectral TLS intensity and calibrated reflectance datasets evaluated and compared to classification performed with passive visible wavelength imagery. Results indicate that rock types can be successfully identified with radiometrically calibrated multispectral TLS data, with enhanced classification performance when fused with passive visible imagery.