车载LiDAR点云中的建筑物特征提取     

王婷婷 《北京测绘》2021,35(1):41-45

针对车载LiDAR点云数据处理复杂、时间长的问题,本文以地物不同特征值作为建筑物自动提取算法的依据,通过点云数据预处理、聚类分析等一系列流程最终实现一般建筑物点云的自动提取。通过两个实验区点云数据的提取与相应的实际地物进行精度分析对比,结果表明本文算法对实例测区环境下的不同建筑物点云提取具有较好的有效性,满足数字城市三维建模的精度要求。  相似文献   

基于车载激光点云的高精地图矢量化成图     

赵焰  曹聿铭  黄鹤 《测绘通报》2021,(12):105-109,114

针对车载激光点云中对各特征物提取结果后矢量化成图时的自动化问题,本文基于双方向积分法实现了边缘检测及矢量化成图,旨在保证特征物基本特征的同时,也保证点云的绝对精度。将输入的特征点云进行离群点过滤,以保证外包框算法特征点云的准确度;将三维点云按照外包框算法投影至最优平面,为后续沿各方向积分提供输入;利用八邻域KD-tree算法求出样本特征点云的均值邻域半径,依据邻域半径对各方向积分提供积分域中的微分元;根据提供的微分元沿各方向进行积分,在该积分元内找到距平面最值的最优解;按照积分结果构建点云索引,并根据点云特征构建模型,最终得到高精地图的矢量化点云。试验证明了该方法在处理实际问题时的可行性。  相似文献   

无人机与卫星影像的叶面积指数遥感反演研究   总被引：1，自引：0，他引：1  

孙越  顾祝军  李栋梁 《测绘科学》2021,46(2):106-112,145

针对卫星遥感影像获取的叶面积指数精度较低的问题,该文结合无人机低空航拍影像和卫星影像,基于最小二乘法建立了一种叶面积指数遥感反演方法,并与卫星影像像元二分模型进行了比较。结果表明:从单一植被类型到整体植被叶面积指数的反演,新方法均优于卫星影像的像元二分法,两者整体相对误差分别为27%和35%。4种植被类型中,草本植物对模型的反演精度影响较大,两者相对误差分别为32%和56%。使用该方法准确计算了长汀县相关区域叶面积指数分布,与他人结果一致。该方法提高了卫星遥感影像获取叶面积指数的精度,为大面积高精度估算区域植被提供了一种方法。  相似文献   

无人机三维倾斜摄影测量助力自然资源调查——以不动产调查为例     

陈智民 《测绘与空间地理信息》2021,44(1):119-121

随着第一次地理国情普查与监测、第三次全国土地调查等重大自然资源调查类项目的实施,以无人机作为搭载平台的遥感影像获取手段在不断发展并深入应用,特别是无人机航测技术和地理信息技术的结合应用越来越紧密。本文以不动产调查为例,重点论述结合无人机三维倾斜摄影测量技术在内的测绘地理信息新手段的作业原理及应用情况,并对其优缺点进行总结评价,为该技术进一步发展提供技术积淀。  相似文献   

履带式深海采矿车软底质行走性能分析     

苏强  吕海宁  杨建民  孙鹏飞 《海洋工程》2022,40(2):162-168

海底底质的物理力学参数不同于陆地土壤,其极低的抗剪强度和承压强度对深海采矿车的行走性能提出高要求。分析基于车辆地面力学理论,开展了底质土力学特性试验研究,建立了深海底质力学模型。根据深海重载作业采矿车样机结构参数,在大型动力学仿真软件Recurdyn中建立了仿真模型。通过直线行走多体动力学仿真与直线行走海试试验的对比,验证了仿真模型的准确性。在此基础上开展了采矿车样机在深海软底质上的多种行走工况动力学仿真,分析与评价其行走性能。结果表明,采矿车样机可以顺利完成转弯、爬坡、越障等基本功能。该研究成果可为深海采矿车海底行走性能评估提供理论参考,为深海采矿车和软底质的相互作用力学研究提供借鉴。  相似文献   

基于最优路径的无人机影像辐射区域网平差     

彭万山  龚龑  任杰  周聪  于亚娇 《测绘通报》2023,(1):52-57+64

无人机遥感能够提供高时空分辨率的影像数据,拥有广泛的应用前景。辐射校正将传感器记录的数据转化为地表反射率,是无人机数据定量化应用的前提。然而无人机数据易受光照等因素的影响,导致影像间存在不同程度的辐射差异,为多张无人机影像的辐射校正带来困难。基于影像间重叠区域的信息,辐射区域网平差能够获得全局最优的辐射校正参数,降低影像间的辐射差异,因此在实现影像的辐射校正方面具有巨大潜力。但大量待求解未知参数降低了辐射校正模型的求解效率,特别是在数据量急剧增加时,该问题更为突出。基于影像重叠区辐射信息建立的最优路径很好地考虑了影像间的辐射转化关系,可有效控制误差累计,为减少辐射区域网平差中未知参数的数量提供了一种思路。因此,本文将最优路径与辐射区域网平差相结合,以降低待求解参数的数量,在保证辐射校正精度的同时提高辐射校正模型求解效率,进而提升辐射区域网平差在大数据集上的应用潜力。  相似文献   

基于SDCORS的车载RTK高程注记点连续采集精度分析          下载免费PDF全文

凌晓春  刘石栋  刘振军  汤玉兵 《山东国土资源》2014,30(5)

为提高航测法数字线划图(DLG)的生产效率,尽可能减少外业作业时间,基于山东省卫星定位连续运行综合服务系统(SDCORS)的车载RTK技术进行高程注记点采集。采用不同时间(白天、晚上)、不同车速条件进行高程注记点连续采集,并与常规方法(全站仪、单基站RTK)采集高程点进行比较,求取高程中误差,认为在夜间以不大于20 km/h的车速进行采集精度较高。在数字海阳基础地理信息数据采集项目中,利用车载RTK采集346 km2范围内的沿路高程注记点,结果表明能够满足1∶500航测法成图精度要求。  相似文献   

The adoption of sustainable innovations: Driven by symbolic and environmental motives     

《Global Environmental Change》2014

Critical to the environmental success of sustainable innovations is the adoption by consumers. The consensus is that instrumental shortcomings of sustainable innovations inhibit their adoption. However, we argue that the adoption of sustainable innovations does not exclusively depend on their instrumental attributes. In addition, people may be motivated to adopt sustainable innovations because of their positive environmental and symbolic attributes, that is, they benefit the environment and can be used to signal positive characteristics to oneself and others. We studied the significance of instrumental, environmental and symbolic attributes for the adoption of two sustainable innovations: electric cars (Study 1) and local renewable energy systems (Study 2), following two methods. Results showed that when asked directly, participants claimed that instrumental and environmental attributes are most important for their decision to adopt sustainable innovations, while symbolic attributes were rated as less important. Interestingly, evaluations of the symbolic and environmental attributes of sustainable innovations, but not evaluations of their instrumental attributes, predicted different indicators of adoption (i.e., interest in, the acceptability of, and intention to adopt these sustainable innovations), suggesting that the significance of symbolic motives for adopting sustainable innovations may not be recognized by consumers. Moreover, favorable evaluations of symbolic attributes particularly enhanced interest in and acceptability of sustainable innovation when participants evaluated the instrumental attributes more negatively, but not when instrumental attributes were evaluated relatively positively. This suggests that the instrumental drawbacks of sustainable innovations may sometimes strengthen their positive signal, which can promote interest in sustainable innovations.  相似文献   

Can Protection Motivation Theory predict pro-environmental behavior? Explaining the adoption of electric vehicles in the Netherlands     

《Global Environmental Change》2014

Scholars have proposed that the Protection Motivation Theory provides a valuable framework to explain pro-environmental choices, by employing a wide set of predictors, such as the costs and benefits of current (maladaptive) behavior as well as prospective adaptive behavior. However, no comprehensive empirical tests of the Protection Motivation Theory in the slow onset environmental risk domain have been published yet to our knowledge. This paper aims at closing this gap. We first conceptualized the Protection Motivation Theory for the use in this environmental domain. Next, we present results of a questionnaire study among a large representative sample of Dutch drivers that showed that the Protection Motivation Theory is a relevant theory for modeling different indicators of full electric vehicle adoption. Notably, all theoretical antecedents proved to be significant predictors of different adoption indicators. Respondents were particularly more likely to adopt an electric vehicle when they perceived the negative consequences caused by conventional vehicles as more severe, and when they expected electric vehicles to decrease these consequences. The most important barriers for electric vehicle adoption were perceived high monetary and non-monetary costs of electric vehicles, and benefits associated with the use of a conventional vehicle. Interestingly, we found that environmental risks are more prominent in predicting close adoption indicators; while energy security risks are more prominent in predicting distant adoption indicators. As expected, our findings suggest that both collective concerns and individual concerns predict different indicators of adoption. Individual concerns (in particular perceived costs of driving an electric vehicle) played a more prominent role when predicting close measures of adoption, while collective concerns (e.g., perceived severity of environmental and energy security risks) played a somewhat more prominent role when predicting distant measures of adoption. Implications for research and practice are provided.  相似文献   

全球锂资源供需前景与对策建议   总被引：4，自引：0，他引：4  

周平  唐金荣  张涛 《地质通报》2014,33(10):1532-1538

随着信息技术和新能源汽车等新兴产业的兴起,金属锂的地位和作用与日俱增。通过分析全球锂资源及其分布、供需现状及锂电发展对未来锂的供需影响,认为全球锂市场在中短期内将由供过于求向供需趋紧转变;长远来看,全球锂资源量大,且随着进入社会领域的锂产品规模扩大,锂的二次资源回收循环利用也将增加,理论上可以满足人类本世纪需求。锂的生产集中度过高、国内盐湖提锂工艺有待改进、锂电安全性问题等是制约中国锂业可持续发展的重要因素。因此,提出要将锂作为中国的新能源关键矿产,适时建立并启动锂的战略储备,加强高Mg/Li值盐湖卤水提锂工艺的科技公关,加强高性能锂电技术研发等对策建议。  相似文献