沉积学粒度分析方法综述

文章回顾了粒度分析的历史,总结了常用的粒径类型,介绍了粒度标准和目前沉积学中常用的5种粒度分析方法,并对其中的沉降法、场干扰分析法、图像法作了详细的分类说明。此外,对每一种粒度分析方法的适用范围、测定原理以及其存在的优缺点也进行了详细的介绍。其中：直接测量法简单易行,但精度较差;筛析法较为普遍,但只限于松散或弱胶结沉积物,且不能反映颗粒形状;沉降法适用于松散样、弱胶结样和液体样的分析,可对细砂、粉砂或泥等细粒沉积物进行测量;场干扰法主要依据碎屑颗粒的衍射、散射及电压脉冲响应进行,固体样和液体样均可,精度高,适用性广;图像法手段多样,简单直观,操作性强。总体上,未来的几十年内,粒度分析方法仍将是新旧技术并存,多种方法共用的状况。     

基于染色标定与图像颗粒分割的钙质砂颗粒破碎特性研究

针对混合粒径钙质砂中不同粒径颗粒绝对破碎量无法获得和现有破碎率难以考虑破碎重叠掩盖破碎量这两个问题开展研究。设计了粗砂、中砂、细砂颗粒集中分布的3种级配钙质砂试样,进行侧限压缩试验。对不同粒径区间钙质砂分别染成不同颜色,拍照获取各粒径区间钙质砂破碎信息;采用Image J软件进行彩色图像颗粒分割、二值化处理、统计各颜色颗粒面积,换算得各颜色颗粒破碎后含量;并提出考虑破碎重叠掩盖的试样累积破碎率指标B_a。结果表明,随压力增大及颗粒分布集中,试样的重叠掩盖破碎量增大。混合粒径钙质砂中的中间粒径(0.25~1.00mm)颗粒易于破碎,各粒径颗粒破坏模式以颗粒边角破碎为主;累积破碎率B_a值较相对破碎率B_r较大,与垂向压力对数值间满足线性关系,为颗粒破碎研究提供了新的思路。     

水利水电三维地质模型覆盖层建模技术研究

近几年,建立水利水电三维地质模型成为地质工作者分析工程地质现象和掌握岩土体结构规律的一种新的有用手段。在CATIA软件的基础上,利用Visual Basic.net编程开发了适用于水利水电行业的三维地质建模平台,系统介绍了该三维地质建模平台,该平台包括覆盖层、地质层、水文层、模型分析、模型剖切、有限元分析等基本模块,结合三维地质建模软件提出了地质模型的覆盖层建模流程;针对建模过程中一些关键技术问题做了详细的分析研究,如原始数据处理、曲面分割、曲面缝合等。同时,该软件可实现对已建好的三维地质模型进行质量检测与修复,以保证地质模型的可靠性,最后利用该建模平台建立了某水电站的三维地质模型,利用平台的切割功能实现模型的任意位置、任意角度的二维剖切,以满足工程设计的需要。     

Automated recognition of quasi‐planar ignimbrite sheets as paleosurfaces via robust segmentation of digital elevation models: an example from the Central Andes

Quasi‐planar morphological surfaces may become dissected or degraded with time, but still retain original features related to their geologic‐geomorphic origin. To decipher the information hidden in the relief, recognition of such features is required, possibly in an automated manner. In our study, using Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM), an existing algorithm has been adapted to recognize quasi‐planar features fulfilling specified criteria. The method has been applied to a study area of the Central Andes with Miocene to Quaternary volcanic edifices, tilted ignimbrite surfaces, and basin‐filling sediments. The result is a surface segmentation, whereas non‐planar features (gullies, tectonic faults, etc.) are sorted out. The main types of geomorphic features that can be distinguished and interpreted are as follows. (1) The west‐dipping western margin of the Altiplano is differentiated into segments of the lower sedimentary cover that of increased erosion by tectonic steepening at intermediate levels, and an upper plane with limited erosion. (2) In the central part of the Western Cordillera, the Oxaya ignimbrite block shows a ‘striped’ bulging pattern that results from a smoothly changing surface dip. This pattern is due to continuous folding/warping of the ignimbrite block possibly related to gravitational movements. (3) To the west, large, uniform planes correspond to flat, smooth, tectonically undisturbed surfaces of young sedimentary cover of the Central Basin. (4) The evolution of Taapaca volcanoes with sector collapse events and cone‐building phases is shown by several segments with overlapping clastic aprons. (5) To the east, on the western margin of the Altiplano, young intermontane basins filled by Upper Miocene sediments show progressively increasing dip toward basin margins, reflected by a circular pattern of the segmentation planes. We show that the segmentation models provide meaningful images and additional information for geomorphometric analysis that can be interpreted in terms of geological and surface evolution models. Copyright © 2014 John Wiley & Sons, Ltd.     

面向对象的高分辨率遥感影像分割分类评价指标

由于总体精度或Kappa系数的遥感影像分割/分类评价指标,对影像分割图斑的几何形状等真实结构未能有效刻画,不能有效体现面向对象处理中边缘像元的真实分割/分类效果。本文基于分割对象的几何结构,提出了5个面向对象的高分辨率遥感影像分割/分类精度评价指标:过分割、欠分割、边缘匹配、分割块数,以及形状误差,并在IDL平台实现了一个面向对象影像分析与评价的原型系统。通过对福州市QuickBird影像的Meanshift分割评价,证实了其指标能够刻画出分割对象的深层结构,并符合地物对象分割/分类的真实分布。实验还表明,该评价指标在确定分割算法的参数方面具有重要的应用价值。     

安丘-莒县断裂北段几何结构与最新活动特征

安丘-莒县断裂是沂沭断裂带的主要分支之一,也是最主要的一条活动断裂。通过断裂活动性调查和地质填图,查明了安丘-莒县断裂北段的空间展布、几何结构以及最新活动特征。在莒县至昌邑一带,安丘-莒县断裂自北向南大致可划分为昌邑—南流段、安丘—孟疃段、青峰岭段和孟堰段等4个段落。它们以左阶斜列形式展布,而每个断层段又由更次一级的段落以右阶斜列的形式组成。昌邑—南流断层段的最新活动时代为全新世中晚期,除右旋走滑断层活动外,还观察到逆冲和正断运动分量,其中正断运动分量的发生时代较新。安丘—孟疃和青峰岭2个断层段以右旋走滑运动为主,兼有逆冲运动分量,最新活动时代分别为晚更新世和全新世早期。孟堰断层段也以右旋为主兼具逆冲分量,最新活动时代为全新世早期。安丘—孟疃断层段公元前70年曾发生过安丘7级地震,结合断层活动性质和最新活动时代综合判断,山东莒县以北的安丘-莒县断裂的未来地震危险性较大,在今后的地震灾害防御和地震预测工作中应予以重视。     

基于Wold特征的遥感图像的分割

马尔可夫随机场模型是一种较好的纹理模型，但由于它是一个低阶的纯随机模型，因此用于图像分割时，区分相近纹理的能力仍然有限。将结合2维Wold分解技术来对遥感图像进行分割，通过调整不同性质谱分量的比例关系，放大相近谱峰值之间的差别，从而有利于Harmonic滤波器的信号选取，改善低阶马尔可夫分割场模型不能刻画结构性纹理的缺点。实验方法对城区目标进行提取，结果表明该方法的有效性优于纯Markov随机场所采取的分割方法。     

Salt body detection from seismic data via sparse representation

In seismic interpretation and seismic data analysis, it is of critical importance to effectively identify certain geologic formations from very large seismic data sets. In particular, the problem of salt characterization from seismic data can lead to important savings in time during the interpretation process if solved efficiently and in an automatic manner. In this work, we present a novel numerical approach that is able to automatically segmenting or identifying salt structures from a post‐stack seismic data set with a minimum intervention from the interpreter. The proposed methodology is based on the recent theory of sparse representation and consists in three major steps: first, a supervised learning assisted by the user which is performed only once, second a segmentation process via unconstrained ?₁ optimization, and finally a post‐processing step based on signal separation. Furthermore, since the second step only depends upon local information at each time, the whole process greatly benefits from parallel computing platforms. We conduct numerical experiments in a synthetic 3D seismic data set demonstrating the viability of our method. More specifically, we found that the proposed approach matches up to 98.53% with respect to the corresponding 3D velocity model available in advance. Finally, in appendixes A and B, we present a convergence analysis providing theoretical guarantees for the proposed method.     

基于移动激光扫描点云特征图像和SVM的建筑物立面半自动提取方法

建筑物立面是城市地物的重要组成部分,而移动激光扫描是获取城市地物三维信息的重要手段之一。本文提出了一种基于移动激光扫描点云的建筑物立面半自动提取算法。该方法首先构建研究区水平网格;然后计算局部点云几何特征,并且将特征投影到水平网格生成点云特征图像;接着基于支持向量机（Support Vector Machine,SVM）对建筑物立面网格进行粗提取;最后使用网格属性（形状系数、网格面积、最大高程）对粗提取结果进行过滤,并将结果反投影到三维空间中得到精确的建筑物立面。以卡内基梅隆大学的移动激光扫描点云进行试验后表明,本算法能够较好地提取出建筑物立面,提取精度为84%,召回率为90%,数据修正后精度为88%,召回率为91%。通过与现有算法对比,本文提出的算法具有较高精度。     

高空间分辨率遥感影像分割尺度参数自动选择研究

面向对象解译技术在高分辨率遥感影像信息提取中得到广泛应用,但影像分割的基础问题仍严重制约其自动化水平,尤其是分割参数选择。因此,本文以广泛使用的分型网络演化分割算法为例,开展尺度参数选择研究。借鉴对遥感影像分辨率敏感的局部方差指标,引入边长和面积权重,构造加权局部方差（WLV）指标,对多个分割结果进行评价,进而实现最佳尺度参数选择。在珠江区域2.5 m的SPOT 5融合影像上进行实验,通过计算最佳分割结果与人工分割结果的相似度对WLV进行定量验证。此外,还对WLV在分割对象最小为一个像元、最大为整景影像的全范围尺度参数的变化规律进行了实验,结果表明：在WLV随尺度参数的变化曲线中,不同极大值点的分割结果反映了实验区不同景观层级上的斑块,其中第1个极大值点对应的分割结果能够较好地反映影像的最小可识别单元。