浅谈地理国情普查专题资料的分析与处理     

王明亮  曲平  王刚 《测绘与空间地理信息》2015,(12):185-186

专题资料的分析处理是地理国情普查工序中十分重要的前期工作,该工序的质量直接影响到地理国情普查工作的成果质量与工作效率。本文从地理国情普查专题资料的分析、处理、整合、利用等几方面进行分析与探讨,研究其解决办法,希望能对相关的生产有所裨益。  相似文献   

使用自然语言处理和分层匹配方法的地理信息服务语义发现     

祝若鑫  卢建伟  李风光  崔晓杰  喻博韡 《测绘科学技术学报》2015,(5):525-529

设计了一种基于自然语言处理和分层匹配的地理信息服务语义发现框架,实现用户输入关键词与地理信息服务的语义匹配。框架基于Word Net知识库,利用消歧技术确定所提取词汇的含义;根据所提取的信息来源以及相关关系将地理信息服务上下文划分为6个信息层匹配,并使用遗传算法确定各信息层在匹配过程中具有的权重。最后将所提出的发现方法与常用的发现方法做实验验证,结果表明该方法可以提高地理信息服务语义发现的查准率。  相似文献   

基于Bernese非差的GNSS大网分布式解算     

吕浩  张友阳  吕志平  崔阳  李中全  周海涛 《测绘科学技术学报》2015,(5)

非差精密单点定位(PPP)是大规模GNSS网络数据处理的主要模式之一。分析了基于Bernese自动处理引擎BPE的非差定位解算流程,通过修改配置文本文件实现BPE功能自动调用。针对单机集中处理模式下解算规模受限、时效性差的问题,采用分布式技术,利用C#编程实现了GNSS精密单点定位的并行处理。采用IGS数据进行实验,算例结果表明:在分布式环境下调用Bernese自动解算功能进行并行数据处理,能够实现快速、准确的GNSS大网高精度PPP定位解算,计算效率明显提高。  相似文献   

泥沙起动概率的高速摄影测量方法          下载免费PDF全文

苗蔚  陈启刚  李丹勋  钟强 《水科学进展》2015,26(5):698-706

为了通过实验测量泥沙起动概率,基于封闭槽道内开展的泥沙起动实验,系统论述了基于高速摄影的起动概率测量方法所涉及的起动概率定义、相机采样频率、图像处理方法、起动比例与运动比例的关系等关键问题.根据泥沙在水流紊动猝发作用下起动的物理机制,定义实测起动概率为单个紊动猝发周期内,从一定面积床面上冲刷外移的泥沙比例.根据推移质运动概念模型,提出高速图片拍摄间隔应小于推移质运动的中间时间尺度,以捕获泥沙的每一次起动.在高速图像处理时,通过连续两帧图片之间的灰度差实现运动比例的无偏差提取.进一步分析表明,运动泥沙可处于起动、止动或滑翔状态,运动比例等于起动比例、止动比例和滑翔比例之和,起动比例与运动比例之比等于两张图片之间的时间间隔除以推移质运动的中间时间尺度.基于上述关键技术,将高速摄影测量方法用于泥沙起动概率的测量,结果表明,临界起动水流条件时,床沙处于少量起动现象,对应的临界起动概率与窦国仁所推导的2.28%接近.  相似文献   

非传统稳定同位素分析技术要点     

白江昊  刘芳  张兆峰  安亚军  李欣  薛永丽  徐玉明 《地学前缘》2020,27(3):1-13

高精度高质量的同位素分析技术是开展非传统稳定同位素地球化学工作的前提。同位素分析是不断提取样品真实信息的过程,包括样品制备、化学分离、质谱测定和数据处理4个基本步骤。在同位素分析过程中,每一环节都有可能引入空白或者污染,或造成同位素分馏,引发信息“失真”。为了准确获得样品的真实同位素组成,必须有效避免污染并精准校正在分析过程中可能的干扰。以Ca同位素为例,在总结前人工作的基础上,探讨了各个步骤所涉及的分析要点,为建立其他同位素体系的分析方法提供参考,为后续储库探讨、机理解析及应用研究提供技术支撑。  相似文献   

强震动记录H/V谱比法计算处理的若干关键环节     

姚鑫鑫  任叶飞  温瑞智  戴嘉伟 《震灾防御技术》2019,14(4):719-730

强震动记录H/V谱比法自提出以来，已广泛应用于地震工程各研究领域中。但对数据处理的2个关键环节——Taper预处理及傅氏谱平滑未有详细研究。因此，本文针对强震动记录H/V谱比法计算涉及的重要数据处理过程，对四川地区19个强震动台站在汶川地震余震中获取的642组强震动记录开展研究。研究实例表明:S波H/V谱比振幅在周期 < 1s时高于全时程，论证计算H/V谱比时截取S波窗口的必要性；S波窗口的截断会引起傅里叶振幅谱的边瓣效应，若不加以处理，将显著影响低频部分H/V谱比结果，Taper预处理对于消除这种截断误差具有良好效果；在兼顾平滑效果及卓越周期识别准确度的基础上，通过不同带宽的Parzen窗试算，认为0.5Hz带宽宜用于傅里叶H/V谱比曲线平滑。  相似文献   

Three-parameter Radon transform in layered transversely isotropic media     

Mohammad Mahdi Abedi  Mohammad Ali Riahi  Alexey Stovas 《Geophysical Prospecting》2019,67(2):395-407

Radon transform is a powerful tool with many applications in different stages of seismic data processing, because of its capability to focus seismic events in the transform domain. Three-parameter Radon transform can optimally focus and separate different seismic events, if its basis functions accurately match the events. In anisotropic media, the conventional hyperbolic or shifted hyperbolic basis functions lose their accuracy and cannot preserve data fidelity, especially at large offsets. To address this issue, we propose an accurate traveltime approximation for transversely isotropic media with vertical symmetry axis, and derive two versions of Radon basis functions, time-variant and time-invariant. A time-variant basis function can be used in time domain Radon transform algorithms while a time-invariant version can be used in, generally more efficient, frequency domain algorithms. Comparing the time-variant and time-invariant Radon transform by the proposed basis functions, the time-invariant version can better focus different seismic events; it is also more accurate, especially in presence of vertical heterogeneity. However, the proposed time-invariant basis functions are suitable for a specific type of layered anisotropic media, known as factorized media. We test the proposed methods and illustrate successful applications of them for trace interpolation and coherent noise attenuation.  相似文献   

Astronomical Image Co-adding Method based on Wide-field Image Deconvolution     

《Chinese Astronomy and Astrophysics》2019,43(3):405-423

Due to the atmospheric turbulence, the static aberration, tracking and pointing errors of telescopes, the point spread functions (PSFs) in different fields of view are different. Meanwhile, there are different PSFs in the images obtained by different telescopes. The quality of co-adding image is limited by the image with the poorest quality, and finally the resolution and sensitivity of the quad-channel telescope will also be affected. Dividing the image into some regions with the same type of PSF, and deconvolving these regions can improve the quality of the co-adding image. According to this theory, an image restoration algorithm based on the PSF clustering is proposed. Firstly, this paper makes the PSF clustering analysis by using Self-Organizing Maps, and makes the image segmentation based on the result of the PSF clustering analysis, then using the clustered PSFs to make deconvolutions on the sub-images. Then, the restored sub-images after deconvolution are joined together. Finally, by through the image registration and co-adding, the image with a high signal to noise ratio can be obtained. The result shows that the signal to noise ratio of the astronomical images are improved with our method, and the detection capability on faint stars is also improved.  相似文献   

免像控无人机在地形图测量中的应用     

刘书林  黄磊 《北京测绘》2020,(2):243-245

通过eBeePlus免像控无人机航空摄影测量系统应用于1∶500地形图测绘工程实例,探究其在实践中的制图精度及适用性。使用emotion3、Pix4dMapper等软件进行外业航飞、内业影像处理,对比分析RTK和PPK两种解算方式下的制图精度,两者均满足规范要求,PPK解算方式更适宜在实践中使用;结合Eps软件制作数字线划地图,对于影像中无法提取的房屋边线、植被覆盖区域地物,采取全野外调绘、实测进行补充,阐述了无人机航测与传统数字化测图相结合的作业方式。  相似文献   

Seismic ground-roll noise attenuation using deep learning     

Harpreet Kaur  Sergey Fomel  Nam Pham 《Geophysical Prospecting》2020,68(7):2064-2077

We propose to adopt a deep learning based framework using generative adversarial networks for ground-roll attenuation in land seismic data. Accounting for the non-stationary properties of seismic data and the associated ground-roll noise, we create training labels using local time–frequency transform and regularized non-stationary regression. The basic idea is to train the network using a few shot gathers such that the network can learn the weights associated with noise attenuation for the training shot gathers. We then apply the learned weights to test ground-roll attenuation on shot gathers, that are not a part of training input to obtain the desired signal. This approach gives results similar to local time–frequency transform and regularized non-stationary regression but at a significantly reduced computational cost. The proposed approach automates the ground-roll attenuation process without requiring any manual input in picking the parameters for each shot gather other than in the training data. Tests on field-data examples verify the effectiveness of the proposed approach.  相似文献