CCD相机二维几何检校

CCD 相机检校是 CCD输入影象处理的一个必不可少的过程。本文对 CCD成象系统的几何性能进行了分析,提出了测定 CCD影象象素比例因子和象主点初值的简易实验方法。在此基础上,构造了一种同时顾及光、电误差的二维检校方法,井进行了相机检校实验。最后对检校结果进行了分析和讨论。     

离子色谱—双电导法同时测定水样中多种阴离子的研究

本文在Dionex2020i离子色谱仪上,选用0.61×10~(-3)mol/L NaHCO_3-1.61×10~(-3)mol/LNa_2CO_3水溶液作淋洗液,在HPIC-AS4A阴离子分离柱上分离痕量F~-、NO_2~-、Br~-和较高浓度的Cl~-、NO_3~-、SO_4~(2-);选用2.0×10~(-3)mol/L TBAOH-6％CH_3CN水溶液作淋洗液,在MPIC-NS1分离柱上分离痕量F~-、Br~-和较高浓度的Cl~-,然后用串联双电导检测器的不同输出范围分别同时定量测定。本法特别适用于相邻两种离子浓度相差较大,前面高含量的离子对后面痕量离子测定有干扰的样品。用本文拟定的HPIC方法测定除铬后的地下水样中多种阴离子的结果与文献值吻合。     

高能射线工业CT最新进展

本文主要介绍了清华大学在高能射线工业CT研究及产业化方面的新进展,介绍了其中的多项成果:小体积、大功率的直线加速器,低噪声、高效率的阵列固体探测器,旋转极坐标反投影快速图像重建算法等.高能工业CT技术的研制成功及产业化,使我国高能工业CT技术达到国际先进水平,结束了我国无自主研制大型工业CT检测系统的历史,解决了我国大型工件无损检测难题,对提高我国高能无损检测技术水平具有重大意义.     

三线阵CCD卫星影像的模拟研究

在讨论从给定的DEM和相应的正射影像模拟三线阵CCD卫星影像的原理和方法的基础上，通过模拟影像考察两种卫星影像近似核线的适应能力和地球自转效应对同轨立体成像能力的影响，并讨论了从DEM和正射影像确定投影响中心轨迹、姿态模拟、共线方程和影像生成等细节。通过试验验证了模拟影像的正确性，揭示了两种核线定义存在的问题及其改进方法。     

LD2000 System with 3S and Multi—sensor

This paper introduces a car-borne road information collecting and updating system (LD2000) developed by Wuhan Technical University of Surveying and Mapping.This system is capable of collecting road network information and creating digital road network effectively by means of GPS,GIS and multi-sensor integration.The design and development of LD 2000 system are also presented in this paper.     

一种提高CCD成像卫星空间分辨率的方法研究

从卫星硬件设计与地面软件处理相结合的角度出发，建立了一套提高卫星图像空间分辨率的方法。对模拟靶标图像、一航景物图像、遥感图像分别进行了不同分辨率成像效果的计算机模拟。结果表明，所建立的卫星图像空间分辨率提高理论是正确的，使卫星图像空间分辨率提高2倍甚至更多在理论上是可行的。这一研究成果的实际应用，将会提高卫星的空间分辨率，也可以在保持卫星分辨率的条件下，缩小光学仪器的焦距，使卫星相机小型化，减小其体积和重量。     

ARL 8680型X荧光光谱仪的非自动高压校正

通过实验，介绍如何设计X荧光光谱仪中测角仪检测器的非自动高压校正的方法。     

An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data

ABSTRACT

Spatial heterogeneity represents a general characteristic of the inequitable distributions of spatial issues. The spatial stratified heterogeneity analysis investigates the heterogeneity among various strata of explanatory variables by comparing the spatial variance within strata and that between strata. The geographical detector model is a widely used technique for spatial stratified heterogeneity analysis. In the model, the spatial data discretization and spatial scale effects are fundamental issues, but they are generally determined by experience and lack accurate quantitative assessment in previous studies. To address this issue, an optimal parameters-based geographical detector (OPGD) model is developed for more accurate spatial analysis. The optimal parameters are explored as the best combination of spatial data discretization method, break number of spatial strata, and spatial scale parameter. In the study, the OPGD model is applied in three example cases with different types of spatial data, including spatial raster data, spatial point or areal statistical data, and spatial line segment data, and an R “GD” package is developed for computation. Results show that the parameter optimization process can further extract geographical characteristics and information contained in spatial explanatory variables in the geographical detector model. The improved model can be flexibly applied in both global and regional spatial analysis for various types of spatial data. Thus, the OPGD model can improve the overall capacity of spatial stratified heterogeneity analysis. The OPGD model and its diverse solutions can contribute to more accurate, flexible, and efficient spatial heterogeneity analysis, such as spatial patterns investigation and spatial factor explorations.