基于光谱和纹理的SVM矿化蚀变信息提取研究

针对传统矿化信息提取方法单一,利用光谱或纹理、信息量相对较少、需要大量样本的缺陷,利用基于光谱和纹理的支持向量机(SVM)原理,建立矿化信息提取模型.选择青海泽库县析界日地区作为典型研究区.首先提取研究区光谱和纹理信息,选取训练样本;然后求解最优超平面,进而确定决策函数;最后泛化推广识别其他待识别的样本.通过所提取的遥感蚀变异常信息与重砂异常点叠加分析,叠加基本吻合;从野外实地验证来看,均发现了不同程度的矿化现象,并指出了5个重点异常区.     

Accuracy assessment of lidar-derived digital elevation models

Despite the relatively high cost of airborne lidar-derived digital elevation models (DEMs), such products are usually presented without a satisfactory associated estimate of accuracy. For the most part, DEM accuracy estimates are typically provided by comparing lidar heights against a finite sample of check point coordinates from an independent source of higher accuracy, supposing a normal distribution of the derived height differences or errors. This paper proposes a new methodology to assess the vertical accuracy of lidar DEMs using confidence intervals constructed from a finite sample of errors computed at check points. A non-parametric approach has been tested where no particular error distribution is assumed, making the proposed methodology especially applicable to non-normal error distributions of the type usually found in DEMs derived from lidar. The performance of the proposed model was experimentally validated using Monte Carlo simulation on 18 vertical error data-sets. Fifteen of these data-sets were computed from original lidar data provided by the International Society for Photogrammetry and Remote Sensing Working Group III/3, using their respective filtered reference data as ground truth. The three remaining data-sets were provided by the Natural Environment Research Council's Airborne Research and Survey Facility lidar system, together with check points acquired using high precision kinematic GPS. The results proved promising, the proposed models reproducing the statistical behaviour of vertical errors of lidar using a favourable number of check points, even in the cases of data-sets with non-normally distributed residuals. This research can therefore be considered as a potentially important step towards improving the quality control of lidar-derived DEMs.     

遥感技术在地质找矿中的应用及发展前景

遥感技术作为矿产勘查的一种手段应用于找矿,并取得了一定成就.遥感技术的直接应用是蚀变遥感信息的提取,遥感技术的间接应用包括地质构造信息、植被的光谱特征及矿床改造信息等方面.遥感找矿具有很大的发展前景的领域主要有:高光谱数据、数据融合技术、3S的紧密结合、计算机技术的发展.     

下庄矿田湖子地区铀矿找矿方向探讨

湖子地区位于NNE向诸广-新兴铀成矿带与近EW向大东山-漳州大断裂复合部位,是华南早、晚两期铀成矿热液活动叠加区、放射性高场区,既有"硅化带大脉"型铀矿产出,又有"交点"型铀矿存在,找矿前景良好.文章在论述下庄矿田铀成矿地质环境、铀成矿特征及铀矿定位条件基础上,分析了湖子地区铀成矿条件与找矿前景,指出该区今后铀矿找矿方向是:① 6009号硅化断裂带,在其北段找硅化带大脉型铀矿,在其南段找"交点"型铀矿;②新桥-下庄硅化断裂带和6009号带之间成矿部位,寻找硅化带型和"交点"型铀矿;③NW向、近EW向辉绿岩脉与NNE向、NE向构造交汇部位(交点),寻找"交点"型铀矿.     

From 2D TO 3D Through Modelling Based On A Single Image

Three-dimensional modelling from single images remains an interesting topic of investigation in the research community, even though range sensors are becoming a common alternative for the generation of 3D information. The interest in single-image-based modelling is motivated by a wide spectrum of applications such as cultural heritage, civil engineering, urban planning and even criminology. In this paper a complete new production flowline is presented for modelling based on a single image. The modelling process consists of a series of familiar steps in photogrammetry and computer vision: feature extraction, vanishing point computation, camera self-calibration, 3D reconstruction and dimensional analysis. In particular, the methodology developed for single-image-based modelling takes a scientific approach combining several proven techniques with robust estimators. Finally, in order to demonstrate its capabilities, the reported examples include several real situations applied in different contexts.     

中国金矿床(Ⅰ):成矿理论研究新进展

针对中国近年来金矿床学领域研究工作,综合讨论了金矿床成矿学理论研究方面的主要进展。它们集中体现在①大型一超大型金矿床;②区域成矿学与成矿系统;③造山带成矿与造山型金矿：从俯冲（增生）造山到碰撞造山成矿的显著发展;④成矿系列、成矿谱系到成矿体系研究;⑤热点、地幔柱及其多级演化：从边缘成矿到板内成矿;⑥成矿时代：从模糊到精确;⑦现代金矿成矿的实时模型;⑧从板块构造演化、超越板块构造到成矿地球动力学等8个方面。     

对北秦岭太阳寺矿集区金矿成矿特征的初步认识

甘肃省天水冯家场—两当太阳寺一带,是近年来资源评价和矿产勘查的重点,是秦岭-大别成矿省北秦岭成矿带中重要的矿化集中区。文章在分析区域构造背景的基础上,对该区成矿特征进行了初步总结,选择典型矿床进行了介绍,初次把该区命名为太阳寺矿集区,这将对该区矿产勘查工作部署,深入研究矿集区成矿规律具有参考意义。     

北祁连中段浪力克—牛头山一带地球化学特征

近年来,部署在重要成矿区带的1：5万区域矿产调查在全国陆续展开,这对提高地质矿产研究程度,进一步圈定找矿靶区具有重要意义。其中要求进行1：5万水系沉积物测量、高精度地面磁测、自然重砂测量和遥感异常提取。本文以甘青交界的浪力克一牛头山一带1：5万区域矿产调查中水系沉积物测量实际资料为依据,探讨了浪力克铜矿区及其区域地球化学特征,认为Cu、Pb、Zn、Au、Ag异常分布与含铜火山岩系分布一致,异常规模显示该矿外围仍具有较大的找矿潜力。     

内蒙古兴安盟杜尔基岩体特征研究

内蒙古兴安盟杜尔基岩体位于大兴安岭中南段,岩性主要为中—细粒二长花岗（斑）岩、中—粗粒二长花岗岩、细粒二长花岗岩。岩石化学分析结果属于碱性岩系列,具有高硅、高钾、富碱、过铝、贫铁、镁、钙特征。稀土元素总量平均值为112．43μg／g,球粒陨石标准化曲线整体平缓右倾,具有Eu负异常;微量元素蛛网图解表现为“W”型形态．具有明显的Sr、Ba、Ti负异常,反映了强烈的分离结晶作用存在。4个样品K-Ar全岩法测年结果为100．15-120．29Ma,说明岩体形成于早白垩世。反映杜尔基地区在早自垩世可能处于相对稳定的拉张环境。