Multiple-entity based classification of airborne laser scanning data in urban areas

There are two main challenges when it comes to classifying airborne laser scanning (ALS) data. The first challenge is to find suitable attributes to distinguish classes of interest. The second is to define proper entities to calculate the attributes. In most cases, efforts are made to find suitable attributes and less attention is paid to defining an entity. It is our hypothesis that, with the same defined attributes and classifier, accuracy will improve if multiple entities are used for classification. To verify this hypothesis, we propose a multiple-entity based classification method to classify seven classes: ground, water, vegetation, roof, wall, roof element, and undefined object. We also compared the performance of the multiple-entity based method to the single-entity based method.Features have been extracted, in most previous work, from a single entity in ALS data; either from a point or from grouped points. In our method, we extract features from three different entities: points, planar segments, and segments derived by mean shift. Features extracted from these entities are inputted into a four-step classification strategy. After ALS data are filtered into ground and non-ground points. Features generalised from planar segments are used to classify points into the following: water, ground, roof, vegetation, and undefined objects. This is followed by point-wise identification of the walls and roof elements using the contextual information of a building. During the contextual reasoning, the portion of the vegetation extending above the roofs is classified as a roof element. This portion of points is eventually re-segmented by the mean shift method and then reclassified.Five supervised classifiers are applied to classify the features extracted from planar segments and mean shift segments. The experiments demonstrate that a multiple-entity strategy achieves slightly higher overall accuracy and achieves much higher accuracy for vegetation, in comparison to the single-entity strategy (using only point features and planar segment features). Although the multiple-entity method obtains nearly the same overall accuracy as the planar-segment method, the accuracy of vegetation improves by 3.3% with the rule-based classifier. The multiple-entity method obtains much higher overall accuracy and higher accuracy in vegetation in comparison to using only the point-wise classification method for all five classifiers.Meanwhile, we compared the performances of five classifiers. The rule-based method provides the highest overall accuracy at 97.0%. The rule-based method provides over 99.0% accuracy for the ground and roof classes, and a minimum accuracy of 90.0% for the water, vegetation, wall and undefined object classes. Notably, the accuracy of the roof element class is only 70% with the rule-based method, or even lower with other classifiers. Most roof elements have been assigned to the roof class, as shown in the confusion matrix. These erroneous assignments are not fatal errors because both a roof and a roof element are part of a building. In addition, a new feature which indicates the average point space within the planar segment is generalised to distinguish vegetation from other classes. Its performance is compared to the percentage of points with multiple pulse count in planar segments. Using the feature computed with only average point space, the detection rate of vegetation in a rule-based classifier is 85.5%, which is 6% lower than that with pulse count information.     

半干旱荒漠化草原春季边界层特征的一次综合探测

利用“沙尘气溶胶辐射模型及气候环境生态效应研究”项目加强观测期在二连浩特气象站进行的温、风、湿探空观测资料及架设在朱日和气象站的气象激光雷达资料,采用综合评定法分析了内蒙古半干旱荒漠草原地区大气边界层的厚度、结构特征和变化规律,同时利用气象激光雷达回波资料及气溶胶消光系数在垂直高度上的分布特征,确定了朱日和地区边界层的高度及日变化特征。结果显示,用探空资料综合评定得到的二连浩特地区大气边界层总体厚度偏大,边界层最大厚度达到2 300 m,稳定边界层高度在300 m左右;1 000 m附近为风向的转变高度,其下全为偏东风,其上全为偏西风,边界层风速切变较大;午后到夜间,近地层有东风急流出现,急流最强可达12 m·s-1,急流高度在300 m;在600 m高度附近出现逆湿,低层逆湿现象夜间比白天显著。气象激光雷达资料显示,朱日和地区春季晴日混合层最大厚度可达2 400 m,出现在16:00左右。     

Thermal characteristics of coal fires 2: Results of measurements on simulated coal fires

In this paper we present thermal characteristics of coal fires as measured during simulated fires under an experimental setting in Germany in July 2002. It is thus a continuation of the previously published paper “Thermal surface characteristics of coal fire 1: Results of in-situ measurement”, in which we presented temperature measurements of real subsurface coal fires in China [Zhang, J., Kuenzer, C., accepted for publication. Thermal Surface Characteristics of Coal Fires 1: Results of in-situ measurements. Accepted for publication at Journal of Applied Geophysics.]. The focus is on simulated coal fires, which are less complex in nature than fires under natural conditions. In the present study we simulated all the influences usually occurring under natural conditions in a controllable manner (uniform background material of known thermal properties, known ventilation pathways, homogeneous coal substrate), creating two artificial outdoor coal fires under simplified settings. One surface coal fire and one subsurface coal fire were observed over the course of 2 days. The set up of the fires allowed for measurements not always feasible under “real” in-situ conditions: thus compared to the in-situ investigations presented in paper one we could retrieve numerous temperature measurements inside of the fires. Single temperature measurements, diurnal profiles and airborne thermal surveying present the typical temperature patterns of a small surface-and a subsurface fire under undisturbed conditions (easily accessible terrain, 24 hour measurements period, homogeneous materials). We found that the outside air temperature does not influence the fire's surface temperature (up to 900 °C), while fire centre temperatures of up to 1200 °C strongly correlate with surface temperatures of the fire. The fires could heat their surrounding up to a distance of 4.5 m. However, thermal anomalies on the background surface only persist as long as the fire is burning and disappear very fast if the heat source is removed. Furthermore, heat outside of the fires is transported mainly by convection and not by radiation. In spatial thermal line scanner data the diurnal thermal patterns of the coal fire are clearly represented. Our experiments during that data collection also visualize the thermal anomaly differences between covered (underground) and uncovered (surface) coal fires. The latter could not be observed in-situ in a real coal fire area. Sub-surface coal fires express a much weaker signal than open surface fires and contrast only by few degrees against the background. In airborne thermal imaging scanner data the fires are also well represented. Here we could show that the mid-infrared domain (3.8 μm) is more suitable to pick up very hot anomalies, compared to the common thermal (8.8 μm) domain. Our results help to understand coal fires and their thermal patterns as well as the limitations occurring during their analysis. We believe that the results presented here can practicably help for the planning of coal fire thermal mapping campaigns — including remote sensing methods and the thermal data can be included into numerical coal fire modelling as initial or boundary conditions.     

基于姿态变化的航空频率域电磁法仪器偏置实时校正方法研究

磁偶极子的航空频率域电磁法仪器在飞行测量的过程中由于仪器偏置的存在,且仪器偏置会随着外部气压、温度等环境因素以及收发线圈晃动的影响而呈现非线性变化,使得观测数据出现误差,因此需要对仪器偏置进行校正.而传统的在测线飞行前后将仪器抬至高空的“零场值”标定方法具有成本高、受测区环境影响大以及采用线性插值获取测线飞行过程中仪器偏置的精度低等缺点.本文根据仪器偏置与仪器姿态角变化无关的特性,通过测得仪器的姿态角信息,在满足重叠偶极子模型的条件下,实现对仪器偏置的高精度实时校正.模型仿真结果表明,在30 m常规飞行高度下,该方法实时测得的仪器偏置精度接近于110 m高空测得的精度;校正后仪器偏置的绝对误差与理论二次场的比值即相对误差小于5%,满足反演大地电导率的精度要求.该方法不仅减少了飞行的工作量,降低了飞行成本和飞行难度,而且可更加精确地获得测线飞行过程中仪器偏置的非线性变化值,提高航测数据的观测精度.     

矽卡岩岩浆对中国北方某些矽卡岩型矿床形成的制约——来自包裹体激光拉曼分析证据

本文将报道中国北方主要矽卡岩型矿床矿物熔融包裹体和流体-熔融包裹体的激光拉曼分析结果。研究目的是确认这些矿化矽卡岩矿物是否含熔融包裹体和流体-熔融包裹体,获取有关它们相态特征和相组成以及它们的分布状况(是局部的、偶然性的,还是广泛的)的信息。文章对邯邢铁矿、蒙库铁矿和杨家杖子钼矿等9个矿床12块标本中石榴石、辉石和方解石或白云石中23个包裹体进行了共聚焦激光拉曼光谱仪分析。拉曼分析结果表明,所研究的矽卡岩矿物均含熔融包裹体和/或流体-熔融包裹体,它们是岩浆矽卡岩的直接证据。结合本文激光拉曼分析结果、地质背景和其他地区岩浆矽卡岩矿物包裹体测温学研究,对所研究矽卡岩的形成机制和岩浆矽卡岩对中国北方某些矽卡岩型矿床的制约进行了讨论。认为含有熔融包裹体和/或流体-熔融包裹体的矿化矽卡岩系岩浆成因,其分布范围广泛,规模不小。中国北方某些矽卡岩型矿床的时空分布和规模受控于该地区分布的岩浆矽卡岩。希望本文有助于拓宽矽卡岩型矿床成矿规律研究和深部找矿勘探的思路。     

常见岩石矿物微区特征信息激光剥蚀光谱快速识别技术研究

利用一台小型Nd:YAG 266 nm调Q激光器,在常压大气环境下诱导激发150个岩石矿物标本产生等离子体,通过微光谱仪记录等离子体200～800 nm范围内的发射光谱,形成岩石矿物标本微区特征激光剥蚀光谱(LAS)谱图,对谱图中主量元素进行定性识别;将岩石矿物标本的显微照片、矿物组成、特征LAS谱图以及主量元素的特征波长等信息汇总,建立其特征信息库;并编写常见岩石矿物LAS快速识别软件。该软件采用平滑、抽提特征峰等处理方法对LAS谱图进行简化,通过比较未知岩石矿物与特征库中参考岩石矿物LAS谱中特征峰位置的匹配度来快速识别、筛选未知岩石矿物。本研究建立的LAS实验平台和常见岩石矿物特征LAS谱图库,可减少矿物鉴定人为因素影响大、鉴定速度慢、花费高等不足,并为实现原位快速测定岩石矿物微区成分奠定了基础,可望为矿产勘探、开采和选矿提供技术支持。     

航空重力测量中垂直扰动加速度误差模型的建立与分析

根据GPS确定垂直扰动加速度的误差特性,建立了合适的垂直扰动加速度的误差模型。通过对计算结果的分析,提出了航空重力测量中,在重力通频带内,垂直扰动加速度误差可当作一种有色噪声来处理的新观点。并且根据误差模型,给出了滤波截止频率的相应取值以及GPS定位精度指标。     

Laser desorption/ionization mass spectrometric study of secondary organic aerosol formed from the photooxidation of aromatics

Five aromatic hydrocarbons – benzene, toluene, ethylbenzene, p-xylene and 1,2,4-trimethylbenzene – were selected to investigate the laser desorption/ionization mass spectra of secondary organic aerosols (SOA) resulting from OH-initiated photooxidation of aromatic compounds. The experiments were conducted by irradiating aromatic hydrocarbon/CH₃ONO/NO _X mixtures in a home-made smog chamber. The aerosol time-of-flight mass spectrometer (ATOFMS) was used to measure the aerodynamic size and chemical composition of individual secondary organic aerosol particles in real-time. Experimental results showed that aerosol created by aromatics photooxidation is predominantly in the form of fine particles, which have diameters less than 2.5 μm (i.e. PM2.5), and different aromatic hydrocarbons SOA mass spectra have eight same positive laser desorption/ionization mass spectra peaks: m/z = 18, 29, 43, 44, 46, 57, 67, 77. These mass spectra peaks may come from the fragment ions of the SOA products: oxo-carboxylic acids, aldehydes and ketones, nitrogenated organic compounds, furanoid and aromatic compounds. The possible reaction mechanisms leading to these products were also discussed.     

激光雷达在气象和大气环境监测中的应用

论述了激光雷达的结构、分类以及不同种类激光雷达的工作原理。跟踪激光雷达最新的发展和应用,根据探测物质的不同,分别讨论了激光雷达在探测气溶胶、云、边界层、温度、能见度、风、大气成分、水汽和钠层方面的应用,综述了目前国外星载激光雷达的发展和新的应用动态。进一步讨论了在激光雷达探测中存在的问题和今后的发展趋势,认为激光雷达将向多波长、多探测功能、商业化、区域化及全球化方向发展,它在气象与环境监测中正在发挥越来越重要的作用。     

基于SLR时间序列构建STRF及其与ITRF2008转换关系的研究

利用SLR时间序列与ITRF2008的公共参考站的坐标及速度信息,实现两者间的欧几里得标准相似变换,以核心参考站在1983—2008年的SLR时间序列解算了各历元与ITRF2008的转换参数,并对转换参数进行统计分析,结果可靠。