Study on Sampling Rule and Simplification of LiDAR Point Cloud Based on Terrain Complexity

It is difficult to obtain digital elevation model (DEM) in the mountainous regions. As an emerging technology, Light Detection and Ranging (LiDAR) is an enabling technology. However, the amount of points obtained by LiDAR is huge. When processing LiDAR point cloud, huge data will lead to a rapid decline in data processing speed, so it is necessary to thin LiDAR point cloud. In this paper, a new terrain sampling rule had been built based on the integrated terrain complexity, and then based on the rule a LiDAR point cloud simplification method, which was referred as to TCthin, had been proposed. The TCthin method was evaluated by experiments in which XUthin and Lasthin were selected as the TCthin’s comparative methods. The TCthin’s simplification degree was estimated by the simplification rate value, and the TCthin’s simplification quality was evaluated by Root Mean Square Deviation. The experimental results show that the TCthin method can thin LiDAR point cloud effectively and improve the simplification quality, and at 5 m, 10 m, 30 m scale levels, the TCthin method has a good applicability in the areas with different terrain complexity. This study has theoretical and practical value in sampling theory, thinning LiDAR point cloud, building high-precision DEM and so on.     

Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US

Using the NASA Earth Exchange platform, the North American Forest Dynamics (NAFD) project mapped forest history wall-to-wall, annually for the contiguous US (1986–2010) using the Vegetation Change Tracker algorithm. As with any effort to identify real changes in remotely sensed time-series, data gaps, shifts in seasonality, misregistration, inconsistent radiometry and cloud contamination can be sources of error. We discuss the NAFD image selection and processing stream (NISPS) that was designed to minimize these sources of error. The NISPS image quality assessments highlighted issues with the Landsat archive and metadata including inadequate georegistration, unreliability of the pre-2009 L5 cloud cover assessments algorithm, missing growing-season imagery and paucity of clear views. Assessment maps of Landsat 5–7 image quantities and qualities are presented that offer novel perspectives on the growing-season archive considered for this study. Over 150,000+ Landsat images were considered for the NAFD project. Optimally, one high quality cloud-free image in each year or a total of 12,152 images would be used. However, to accommodate data gaps and cloud/shadow contamination 23,338 images were needed. In 220 specific path-row image years no acceptable images were found resulting in data gaps in the annual national map products.     

基于DBN的车载激光点云路侧多目标提取

提出一种基于深度信念网络（DBN）的车载激光点云路侧多目标提取方法。首先通过预处理对原始数据进行分段,并将地面和建筑物点云与路侧目标进行分离;然后利用连通分支聚类分析算法进行路侧点云聚类,并采用基于体素的归一化分割方法分割重叠点云,从而生成独立目标点云;在此基础上,生成基于多方向目标对象的二值图像并展开成二值向量作为独立目标点云的描述特征;最后构建并训练DBN,利用训练好的DBN提取行道树、车辆及杆状目标等3类路侧目标。试验采用两份不同城市道路场景的点云数据,行道树、车辆及杆状目标提取结果的准确率分别达97.31%、97.79%、92.78%,召回率分别达98.30%、98.75%和96.77%,精度分别达95.70%、93.81%和90.00%,F1值分别达97.80%、96.81%和94.73%。试验结果验证了本文的有效性。     

用CC的方法分析和解决一个常见的网络安全问题

CC导出PP的过程是一种安全评估通用语言到某类产品的具体应用过程,需要经过需求分析、得出安全目的、提出安全功能要求与安全保证要求等几个阶段。本文利用这些过程的基本方法和思想全面分析一个常见的网络安全问题,并按照保护轮廓的模式给出该网络的安全要求。     

初论遥感与地图的融合

本文从方法论的角度论述了地理科学中的地图方法和遥感方法的共同特征,分析了二者之间的差异和联系,阐述了二者融合的两个理论问题(地图和遥感图像的综合与图形识别)和技术基础(地理图像处理),提出了为促进二者融合需要研究的主要内容及具体建议。     

我国资源与环境信息系统发展管见

我国的资源与环境信息系统(ERIS)技术,起步较晚,发展迅速,已跻身国际先进行列。在基础研究、应用实验以及同遥感技术的结合方面,进行了成功的探索和开拓,并具有中国特色。通过“七五”科技攻关,在信息与信息系统的规范化、标准化方面,建立不同层次和应用目标的区域信息系统的技术、方法,研制和开发地理信息系统软件、应用分析模型,以及在理论总结方面,取得了丰硕的成果和技术进步,成为一个独立发展的新的前沿领域。90年代,它同航天遥感技术密切结合,共同发展,迎接国民经济和社会发展中重大资源环境急务和全球变化的挑战。在资源与环境动态监测与趋势预报,重大自然灾害监测与预警以及灾情评估与减灾对策,城市、经济开发区的规划、开发与管理,全球环境变化等方面,发挥科学技术的先导作用。同时,继续加强新技术跟踪和空间信息科学的理论研究,在国家规范、标准的制定,业务系统的建立与实用化,信息共享与网络化,模型、专家系统及软件的开发与商品化,同遥感信息工程的结合使其一体化等方面,仍需深入探索,继续攻坚,以期形成完整的理论和技术体系。     

利用一种新的神经网络模型识别点状地图符号

着重讨论了用一种新的神经网络模型识别点状地图符号的过程,主要包括网络的结构特点和学习算法以及学习训练过程,并验证了用该网络进行点状地图符号识别的有效性。     

基于扩展SQL的GIS模糊查询的表达与实现

模糊查询通常包含模糊单词和3种算子——语气算子、模糊化算子和判定化算子。通过模糊集合论,可表示这些模糊概念。在此基础上,介绍了一种扩展SQL表达模糊查询,并将其转化为标准SQL加以实现的方法。     

微波兰被动遥感相关特性的数值模拟和实验对比

本文采用一层具有粗糙界面的连续随机介质模型，计算双站散射系数和后向散射系数，由互易性定理计算热发射率。数值模拟了植被在整个生长过程中后向散射和热发射的变化，以及它们的相关特征。理论结果与几种植被的主被动遥感实验数据作了比较和讨论，阐明了微波主被动遥感的一些相关的数值特征。     

正常椭球内部场的内蕴几何与密度分布

将重力场内蕴几何结构的研究引入到正常椭球内部场的研究中,深入探讨了内蕴几何量及其与内部物理量之间的关系,并据此建立了弱平衡条件下的基本微分方程,进而给出确定椭球内部内蕴几何量与场源密度分布的方法。研究表明,平衡形状理论中的Wavre公式和Clairaut方程可由内蕴几何与内部物理量之间的关系导出,它们是在平衡假设下取椭球近似的结果。