Change detection of linear features in temporally spaced remotely sensed images using edge-based grid analysis

Automatic change detection of land cover features using high-resolution satellite images, is a challenging problem in the field of intelligent remote sensing data interpretation, and is becoming more and more effective for its applications viz. urban planning and monitoring, disaster assessment etc. In the present study, a change in detection approach based on the image morphology that analyses change in the local image grids is proposed. In this approach, edges from both the images are extracted and grid wise comparison is made by probabilistic thresholding and power spectral density analysis for identifying change area. One of the advantages of the proposed methodology is that the temporal images used in the change analysis need not be radiometrically corrected as analysis is based on edge extractions. The grid-based analysis further reduces the error, which might have been introduced by image mis-registration. The proposed methodology is validated by finding the temporal changes in the linear land cover features in parts of Kolkata city, India using three different image data-sets from LISS IV, Cartosat-1 and Google earth having varied spatial resolutions of 5.8 m, 2.5 m and about 1 m, respectively. The overall accuracy in identifying changes is found to be 64.82, 73.86 and 80.93% for LISS IV, Cartosat-1 and Google earth data-set, respectively.     

利用雷电定位系统进行电网雷击故障快速查询

At present, lightning is one of the 10 natural disasters, and it is also the top environmental factor of power interruption. It often causes huge losses to the electric system. The Wuhan High Voltage Institute of the State Grid Corporation of China and Huazhong University of Science and Technology have been researching and developing lightning location systems （LLSs） since the late 1980s. In the mid-1990s, a lightning detection network was created in 29 provinces and cities in China. It is primarily applied to rapidly find lightning accidents, which greatly reduces power interruption. Also, it ensures high efficiency and safe operation of the electricity system. Remarkable benefit is achieved. China＇s LLS went through an ＂orientation positioning - time difference positioning - integrated positioning＂ development process. The positioning precision, detection efficiency, degree of automation, practicability and applied range are improved. Also, a lightning information system plan of the national network has been implemented, which services the whole society.     

HNCORS在电力工程测量中的应用

介绍了连续运行参考站网系统的有关概念,结合HNCORS系统的建设运行,详细探讨了CORS系统在电力工程测量中的应用.     

基于三维激光扫描技术的超高压输电线路巡线技术研究

本文将三维激光扫描技术应用于超高压输电线路的检测与维护中。与传统的线路检测与维护方法相比较,三维激光扫描技术提供了一种方便、快捷、高效的三维数据获取手段,在此基础上,方便地计算超高压输电线路维护过程中所需的各项参数,如档距、高差、弧垂、导线的相间距离等。一方面,可以有效地论证输电线路的设计方案是否合理;另一方面,也可以合理确定故障频发地段,为电网的安全稳定运行提供了可靠的技术保障。     

基于GIS的供电台区经营综合评价

探讨了运用GIS技术对供电台区经营综合评价的实现方法,选取了业务属性和空间属性两个方面评价因子,介绍了从系统软硬件、评价实现过程及显示结果等方面评价过程的具体技术实现。     

多尺度邻域特征下的机载LiDAR点云电力线分类

利用机载激光雷达技术三维测量精度高且获取快速的优点进行电力线自动分类提取已成为点云数据处理与电力应用的重要领域。针对电力线分类模型的自动化和高精度需求,本文提出了基于三维多尺度邻域特征的机载LiDAR点云电力线分类提取模型框架,主要包括4个步骤：电力线候选点滤波、多尺度邻域类型选取、形状结构特征提取和支持向量机分类。通过对2个复杂城市区域的试验数据集和8种不同邻域类型的详细结果对比分析,发现基于多尺度圆球邻域形状结构特征的分类模型结果准确率、召回率和质量分别达到97%、94%和93%,同时整体处理时间在2个试验数据中分别从366、256 s减少到274、160 s。试验结果表明,该方法在多种复杂城市场景中能够实现机载LiDAR数据的电力线较高精度分类提取。     

GPS技术应用与质量控制

结合工作实践,对GPS技术应用与质量控制进行了分析和探讨,概述了GPS网的设计及野外观测中应注意的问题,重点通过对基线解算过程中影响成果质量的诸多因素进行详细分析和论述,以期最大限度的消除误差影响,提高成果精度。     

数字化地图印刷一种随机挂网计算模型

基于彩色图像像素3刺激值与相应网点面积率之间的α幂修正的Neugebauer方程,建立由常规的调幅网为基础的调频挂网计算模型,以此实现分色胶片随机挂网     

黄骅电厂二期工程温排水排放方案优选

在利用分步杂交有限元方法建立渤海湾潮流场的基础上,通过数值模拟的方法建立黄骅电厂温排水海域的温度场,对不同温排水设计方案进行了预测分析。设计方案充分考虑了排放口位置、排水量和温升对海域环境造成的影响,设计了一、二期工程排放口分建和合建时的五种方案。预测结果的对比分析显示,方案V(一、二期工程温排水集中由2排放)是最佳方案。     

激光雷达点云电力线自动提取算法

针对当前电力线提取方法自动化程度和精度不高的问题,本文从点云数据的空间分布特征出发,提出了一种高效的电力线自动提取方法.首先基于自然裂点法,将点云数据按高程分类后去除地面点;然后对数据进行空间划分,基于子空间的点密度及空间结构特征的差异化,利用地物分割算法去除电塔点和残留的植被点;最后利用基于欧氏距离分割的电力线自动检...