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多波束测深数据的误差分析与处理 总被引:1,自引:0,他引:1
在系统分析多波束测深数据的误差来源与性质的基础上,介绍了条带式多波束测深仪所采用的误差处理的理论模型。针对海洋测量的特点,特别强调了基于趋势面分析的粗差探测与剔除和相邻条带数据的整体拼接以及对航向误差的改正等关键问题。本文介绍的误差处理模型对保证多波束测深系统必要的精度和数据质量有着重要的实际意义。 相似文献
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目前国内多波束测深系统质量检验不够成熟,仪器质量和测量数据的可靠性和准确性都无法得到保证,为此,提出一种基于消声水池的多波束测深不确定度检测方法。通过建立基于消声水池的测深声呐检测硬件、软件平台,削弱了由于实验环境带来的各种误差及不确定度因素的影响,提高了检测的精度与可信度。对R2 Sonic2024型多波束测深仪进行几何指标检定实验和精度评定分析,精度较高的中央波束水深值总误差服从正态分布,计算其置信区间及落入置信区间的概率,剔除不符值,使其满足置信度为95%,并计算比对差均值。实验结果表明,该多波束测深不确定度检测方法切实可行,能比较客观地用于多波束测深不确定度检测。 相似文献
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卫星平台震颤是影响高分辨率卫星成像质量的因素之一,会引起影像模糊和内部畸变。本文从资源三号卫星多光谱相机的成像特点和多光谱影像配准误差影响因素入手,理论推导和仿真分析了卫星平台震颤对配准误差的影响规律,在此基础上提出了基于多光谱影像高精度密集匹配的平台震颤检测方法和流程,最后利用不同波段、不同时间的成像数据进行试验。试验结果表明资源三号卫星在试验数据成像阶段存在约0.6Hz的平台震颤,且垂轨方向震颤幅值大于沿轨方向,同时引起波段间相同频率周期性配准误差。检测结果为进一步提高资源三号处理精度提供了可能,也为卫星平台震颤源的分析和优化卫星平台设计提供了重要参考依据。 相似文献
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本文主要介绍了崇启长江大桥主桥钢连续梁大节段整体安装的施工测量控制对水上大跨度构件安装施工中起重船舶定位及移动、吊装过程中的安全监控、精调位控制作了较详细的阐述;并对现场安装误差的消除及控制误差不累积作了叙述,为以后水上进行大型构件安装施工定位提供了可借鉴的技术方法。 相似文献
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针对航空倾斜摄影系统多相机间相对关系的姿态误差,提出一种利用下视影像密集匹配点云约束的联合平差多相机姿态安装误差检校方法。文中方法以共线方程为基础,通过联立倾斜立体像对连接点、下视影像密集匹配点云数据提供的高程约束虚拟观测值,采用非线性最小二乘SQPM算法求解倾斜影像的外方位元素改正数,从而解算下视相机与倾斜相机间的姿态安装误差。为了保证连接点可靠性,提高虚拟观测值的有效性,采用下视影像密集匹配的点云约束倾斜影像立体连接点匹配和分布优化过程。利用SWDC-5倾斜摄影系统获取的数据进行实验,通过原始姿态检校参数将下视影像生成的密集点云投影至倾斜立体影像上,在像方有22个像素左右的误差,采用文中方法检校后,像方误差减少到0.29个像素。 相似文献
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阐述了激光扫平仪光束水平误差的检定方法、激光扫平仪特征方向水平误差及其检测步骤和数据处理方法,给出了精度分析和实测结果 相似文献
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The growth of the Web has resulted in the Web‐based sharing of distributed geospatial data and computational resources. The Geospatial Processing Web (GeoPW) described here is a set of services that provide a wide array of geo‐processing utilities over the Web and make geo‐processing functionalities easily accessible to users. High‐performance remote sensing image processing is an important component of the GeoPW. The design and implementation of high‐performance image processing are, at present, an actively pursued research topic. Researchers have proposed various parallel strategies for single image processing algorithm, based on a computer science approach to parallel processing. This article proposes a multi‐granularity parallel model for various remote sensing image processing algorithms. This model has four hierarchical interfaces that are labeled the Region of Interest oriented (ROI‐oriented), Decompose/Merge, Hierarchical Task Chain and Dynamic Task interfaces or sub‐models. In addition, interfaces, definitions, parallel task scheduling and fault‐tolerance mechanisms are described in detail. Based on the model and methods, we propose an open‐source online platform named OpenRS‐Cloud. A number of parallel algorithms were uniformly and efficiently developed, thus certifying the validity of the multi‐granularity parallel model for unified remote sensing image processing web services. 相似文献
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This study demonstrated the cartographic implications of automated image processing and computer graphics for the study of time‐series data. Automated statistical and image processing techniques were applied to a case study data set consisting of weekly Crop Moisture Index (CMI) values summarized at 174 state cooperative weather stations within Oklahoma for the time period between February and October, 1980. Computer generated isoline maps of the CMI values were interpolated and rescaled into a series of 32 grid matrices for input into a raster‐based ERDAS image processing software system. Principal Components Analysis (PCA) was used to develop graphic models that synthesized the multi‐temporal data into statistical dimensions that represented the most significant elements of CMI variability. Graphic models of the PCA statistical vectors were displayed individually, in conjunction with eigenvector loadings, and as composite images. Resultant images were analyzed statistically and graphically through the generated CMI grid matrices to ascertain the location, severity, and progression of drought represented in the CMI values. Traditional image processing techniques and devices were combined with the ERDAS software system to transform the multi‐temporal CMI data into multi‐dimensional images that represented the drought's spatial and temporal signature unobscured by redundant information. 相似文献
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提出一种基于小波降噪、多尺度图像分割和颜色传递的遥感图像彩色化增强方法。该方法利用一种多尺度图像分割技术,将图像分割为若干子区域,在子区域之间进行亮度匹配和颜色传递,减少了颜色传递误差,再与采用软阈值方法的复数小波包降噪预处理相结合,来增强遥感图像的细节分辨能力。试验结果证明,基于图像分割和色彩传递相结合的方法,其参考彩色图像不需要与目标图像配准,只要特征、风格相近似,就可以对纹理结构相对较简单的全色遥感图像实现全自动的彩色化增强。彩色化的结果图像在美观程度及目标的可识别度上都有了明显增强。 相似文献
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针对现有库容遥感监测方法对无湖盆数据区域的湖泊动态库容难以直接测算问题,提出了未知湖泊水下地形数据的遥感湖泊动态库容监测方法。该方法通过多源遥感数据,匹配相对时相的湖泊面积和水位信息,构建并模拟湖盆DEM数据,据此来估算湖泊的动态库容。在算法实现上,首先采用分布迭代水体提取从遥感影像提取湖泊的多期动态边界;其次,从ICEsat GLAS激光测高数据中反演出湖泊的动态水位高程;第三,依据时间水位信息,通过邻近时相匹配,将水位高程赋给湖泊边界线,生成湖泊等水位线;第四,通过等水位线构建TIN(triangulated irregular network)和Kriging插值,得到模拟湖盆数字高程模型;最后,依据模拟湖盆DEM和水体面积分布、水位信息,计算湖泊动态库容。试验通过对博斯腾湖的多年动态库容监测与真实性检验,结果显示:最大误差为2.21×108 m3,最小误差为0.000 02×108 m3,平均误差为0.044×108 m3,均方根为0.59,相关系数达到0.99。 相似文献