Using horizontal and vertical building structure to constrain indirect sensor orientation

This paper presents a method to integrate linear horizontal, vertical and right-angled scene structures into the bundle adjustment of image sequences. An increasing number of airborne image acquisition systems is available and equipped with non-metric small- or medium-frame cameras and no or insufficiently accurate INS devices. In cases where the data is to be used for the production of geo-spatial data, where a certain accuracy and precision is required, an indirect sensor orientation, possibly including self-calibration, needs to be performed. The idea which led to the presented approach is to reduce the number of GCPs necessary for this task by applying the mentioned scene structures. The method directly uses the linear structures, visible at man-made objects as fictive observations within the adjustment, while self-calibration of intrinsic camera parameters and lens distortion is included as well.Experiments with two datasets demonstrate that, through this method, only limited GCP information is required to obtain satisfactory results. In fact, in one experiment using oblique images, several scene constraints were provided and only the datum was defined by ground control. The residuals at check points from this setup were similar to the traditional case where several well-distributed GCPs were available in the scene. In the second experiment the ability of this approach to support the bundle adjustment was shown for a UAV dataset. Although no GCP and camera calibration information was available, the visual inspection of adjusted object points and the residuals at horizontal structures confirmed the ability of the method to align an image block with the structure, as embodied in the defined scene constraints. Despite the convincing outcome of the experiments, it needs to be mentioned that some manual work is still involved in defining the constraints. In future work the issue of automation will be addressed.     

基于两种遥感影像的郯庐断裂带构造解译浅析

利用光谱信息丰富的常规光学遥感(Landsat-7 ETM)和Google earth影像作为主要数据源,运用ETM1,4,7波段进行假彩色图像合成,综合两种不同的影像于ArcGIS平台上对郯庐断裂构造特征进行分析.首先确定线性构造,通过线性构造周围水系、地形特征推测断裂的存在,得到研究区域内郯庐断裂遥感影像图,基本确...     

A Multi‐Element Ion‐Pair Extraction for Trace Metals Determination in Environmental Samples

A multi‐element ion‐pair extraction method was described for the preconcentration of Cd(II), Co(II), Cr(III), Cu(II), Fe(III), Mn(II), Ni(II), Pb(II), and Zn(II) ions in environmental samples prior to their determinations by flame atomic absorption spectrometry (FAAS). As an ion‐pair ligand 2‐(4‐methoxybenzoyl)‐N′‐benzylidene‐3‐(4‐methoxyphenyl)‐3‐oxo‐N‐phenyl‐propono hydrazide (MBMP) was used. Some analytical parameters such as pH of sample solution, amount of MBMP, shaking time, sample volume, and type of counter ion were investigated to establish optimum experimental conditions. No interferences due to major components and some metal ions of the samples were observed. The detection limits of the proposed method were found in the range of 0.33–0.9 µg L^?1 for the analyte ions. Recoveries were found to be higher than 95% and the relative standard deviation (RSD) was less than 4%. The accuracy of the procedure was estimated by analyzing the two certified reference materials, LGC6019 river water and RTC‐CRM044 soil. The developed method was applied to several matrices such as water, hair, and food samples.     

复方化学消毒剂中苯扎氯铵的高效液相色谱测定

建立了一种测定复方化学消毒剂中苯扎氯铵成分十二烷基二甲基苄基氯化铵、十四烷基二甲基苄基氯化铵和十六烷基二甲基苄基氯化铵的反相离子对高效液相色谱法。色谱柱为Platisil ODS(5μm,250 mm×4.6mm),流动相为甲醇-0.2 mol/L己烷磺酸钠(含1%三乙胺,V/V,用高氯酸调节至pH=6.0,体积比85∶15),紫外220 nm检测。用己烷磺酸钠作为离子对试剂,增强了苯扎氯铵成分的保留,三乙胺作为扫尾剂,通过抑制固定相表面残存的硅羟基对苯扎氯铵成分的吸附,减少了色谱峰拖尾。3种苯扎氯铵成分分离良好,标准曲线的线性范围分别为0.002～5 mg/mL、0.005～10 mg/mL和0.005～10 mg/mL,检测限分别为0.0005 mg/mL、0.001mg/mL和0.001 mg/mL。方法具有良好的准确度和精密度,在测定低浓度样品时优势明显。实际用于测定苯扎氯铵消毒液和医用消毒纸巾中3种苯扎氯铵成分的含量,回收率为99.3%～104.1%,日内和日间测定相对标准偏差(RSD)均小于2.0%。     

集对分析径向基函数神经网络预测模型

将集对分析与径向基函数神经网络结合,提出了集对分析径向基函数神经网络预测模型。模型思路是将研究对象t-1时和t时的影响因子集构造为集对并计算联系度,由联系度的同一度、差异度、对立度及研究对象t-1时的值为输入,研究对象t时的值为输出,构建径向基函数神经网络。以年径流预测为例研究表明,模型结构清晰、步骤明确、预测精度较高,为集对分析应用于水文预测提供了新思路。     

面向对象的山地区域多源遥感影像分割尺度选择及评价

随着遥感技术的飞速发展,通过各种传感器获取的影像种类越来越多.传统的面向像元的影像分析技术已难以适应高分辨率影像,面向对象的影像分析技术应运而生.面向对象的影像分析技术所面临的首要问题是影像分割,如何选择合适的影像分割尺度已成为面向对象影像分析技术的关键.为了提高遥感影像分割尺度选择的准确性,通过对影像分析建立了分割质量函数,针对不同分辨率的多源遥感影像进行分割实验,获取了最优分割尺度,最后提出了一种顾及面积和光谱的分割匹配指数对最优分割尺度进行评价,并研究了分割尺度与亮度均值标准差、影像空间分辨率之间的对应关系.研究结果表明,构建的分割质量函数获取的最优分割尺度避免了人工分割带来的主观性,建立的同时顾及面积和光谱因子的分割匹配指数验证了最优分割尺度选择的正确性.     

城市景观遥感影像融合质量对小波基选取的响应

应用IHS和小波变换结合的融合算法时,小波基的选取是影响融合图像质量的关键,而且包含不同地物信息的影像融合质量对小波基的响应特征有待深入探讨。该文以SPOT全色和多光谱影像为数据源,选取大量高、低密度建筑城市景观影像样本,用信息量、平均梯度和偏差指数3个指标定量评价融合质量,分析不同小波簇下两类融合图像之间的质量差异。研究表明:融合质量与影像所含地物特征密切相关;相对于其它小波簇,rbioNr.Nd表现出较强的变异性;两类融合图像在各小波簇上的波动性差异明显,并呈分段特征;根据质量需求和具体景观特征影像,可以在分解层数固定的情况下选取最佳小波基,以获取高质量融合图像。     

TM图像杨树林识别的MLC与LSU算法应用分析——以河北省文安县为例

以Landsat5 TM1、TM2、TM3、TM4、TM5和TM7等图像数据,经预处理后进行植被指数提取和主成分分析,生成13个波段数据集;并用最优指数法(OIF)选取目视解译波段,运用最大似然法(MLC)和线性光谱分解法(LSU)对华北平原农区河北省文安县2007年5月的杨树林地面积信息作了应用分析.结果表明:(1)...     

SMALL STATES AND CYBERBOOSTERISM

ABSTRACT. The introduction and rapid diffusion of the World Wide Web for commercial purposes provides states with opportunities to present themselves to millions of other governmental, business, and individual consumers. In the world of expanding electronic commerce, images and symbols are key elements in the messages that states use to promote themselves and to seek a competitive advantage. Content analyses of the official Web homepages of four small states—Singapore, Slovenia, Western Samoa, and Costa Rica—attest to the colorful, playful, and creative images designed to attract investors and tourists.     

含能材料损伤裂纹的工业CT图像分析

高聚物粘结炸药(PBX)可看作由炸药晶体及各种添加剂构成的多组份复合材料,为研究温度冲击时裂纹在炸药内部结构中扩展的过程,采用微焦点X射线CT扫描技术获得不同温度冲击条件下,炸药破裂过程中的一系列CT图像.本文根据CT差值图像,由是否出现线状影像判断裂纹的存在,通过变换CT差值图像中像素值的阈值范围分析裂纹的分布特点.基于CT物理原理对裂纹区域进行选取和定量化描述,研究了含能材料CT图像中裂纹形态判定和扩展方式的问题,从理论上探讨了含能材料损伤破坏的细观机理,为今后进一步利用CT进行材料疲劳寿命等相关分析提供一种新的方法.