无人机影像匹配中尺度不变特征应用改进

针对尺度不变特征变换算法用于无人机影像匹配中存在匹配效率低下,误匹配较多等问题,该文提出一种特征点提取优化算法,并改进了特征点匹配策略。通过将原始影像划分格网,依据每个格网影像信息熵的大小来合理分配各格网中特征点数量,实现了基于纹理信息丰富程度的特征点均匀分布;基于Harris兴趣值进行筛选,保留了适合于摄影测量的特征点;采用一种多层次自适应的匹配策略,在尽可能保留正确匹配的同时提高了匹配正确率。基于一对由小型无人机拍摄影像的实验结果表明,所提方法在大量减少SIFT特征点的同时,保证较高的正确率,增加了匹配点的精度,且提高了算法效率。     

Classifying Human Activity Patterns from Smartphone Collected GPS data: A Fuzzy Classification and Aggregation Approach

Smartphones have emerged as a promising type of equipment for monitoring human activities in environmental health studies. However, degraded location accuracy and inconsistency of smartphone‐measured GPS data have limited its effectiveness for classifying human activity patterns. This study proposes a fuzzy classification scheme for differentiating human activity patterns from smartphone‐collected GPS data. Specifically, a fuzzy logic reasoning was adopted to overcome the influence of location uncertainty by estimating the probability of different activity types for single GPS points. Based on that approach, a segment aggregation method was developed to infer activity patterns, while adjusting for uncertainties of point attributes. Validations of the proposed methods were carried out based on a convenient sample of three subjects with different types of smartphones. The results indicate desirable accuracy (e.g. up to 96% in activity identification) using of this method. Two examples are provided in the Appendix to illustrate how the proposed methods could be applied in environmental health studies. Researchers could tailor this scheme to fit a variety of research topics.     

A support vector machine classifier based on a new kernel function model for hyperspectral data

The kernel function is a key factor to determine the performance of a support vector machine (SVM) classifier. Choosing and constructing appropriate kernel function models has been a hot topic in SVM studies. But so far, its implementation can only rely on the experience and the specific sample characteristics without a unified pattern. Thus, this article explored the related theories and research findings of kernel functions, analyzed the classification characteristics of EO-1 Hyperion hyperspectral imagery, and combined a polynomial kernel function with a radial basis kernel function to form a new kernel function model (PRBF). Then, a hyperspectral remote sensing imagery classifier was constructed based on the PRBF model, and a genetic algorithm (GA) was used to optimize the SVM parameters. On the basis of theoretical analysis, this article completed object classification experiments on the Hyperion hyperspectral imagery of experimental areas and verified the high classification accuracy of the model. The experimental results show that the effect of hyperspectral image classification based on this PRBF model is apparently better than the model established by a single global or local kernel function and thus can greatly improve the accuracy of object identification and classification. The highest overall classification accuracy and kappa coefficient reached 93.246% and 0.907, respectively, in all experiments.     

阿根廷米纳毕戈塔地区水系沉积物采样粒度试验研究

中国地质调查局与阿根廷地质矿产调查局合作在阿根廷西北部米纳毕戈塔地区进行1︰25万水系沉积物测量,该区属于干旱-半干旱高寒山区,为突出找矿效果,消除或减少风积物干扰,需要确定适合于该区的水系沉积物采样粒度。为此,在该区选择一个有已知矿床的1︰5万图幅进行采样粒度试验,分别选择10~60目、-60目、60~80目、-80目4个粒度级进行粒度试验;根据我国区域地球化学勘查规范,每个粒度分析39种元素。结果表明,大部分元素在4种粒度水系沉积物中的分布形态基本一致,都能够较好地反映出区内已知矿床,说明采用的采样方法可以有效地避免风成砂干扰;金、银、铜、锡等成矿元素在4种粒度中的分布略有差异,10~60目的金、铜和锡异常对已知矿体的反应更清晰准确。因此,本区水系沉积物地球化学测量的最佳采样粒度是10~60目。根据本次试验结果,中-阿地调局在本区联合开展1︰25万水系沉积物地球化学测量时采用了10~60目水系沉积物作为采样介质,取得了很好的效果。这是本区第一次进行水系沉积粒度试验,对本区将来的地球化学调查和研究具有指导意义。     

基于峰值因子最大化的鬼波压制方法

针对传统拖缆采集得到的海上地震资料受鬼波影响而导致频带宽度变窄,笔者提出一种去鬼波方法,可以压制鬼波效应,拓宽频带。首先在频率-空间域推导出镜像数据生成公式,并基于峰值因子最大化的参数搜索方法来估计最优的鬼波延迟时间,将最优的鬼波延迟时代入镜像记录生成公式,获得最优的镜像记录,利用联合反褶积算法得到最优的去鬼波结果。将本文中的方法应用于模拟的变深度采集数据和海上实测的变深度采集数据,证实该方法可以有效地压制鬼波,消除频谱中的陷波点,得到宽频数据。     

甘肃宝积山盆地中侏罗世石拐茨康叶表皮构造及古环境意义

甘肃宝积山盆地中侏罗统窑街组发现茨康类植物化石,通过对其外部形态和表皮构造研究,认定为石拐茨康叶(Czekanowskia(Vachrameevia)shiguaiensis)。对比当前化石及其现存最近对应种(the nearest living equivalent species)—Ginkgo biloba L.的气孔比率,得到宝积山盆地在中侏罗世的古大气CO_2体积分数为1.55×10~(-3),数值接近GEOCARBⅢ碳平衡模型的拟合曲线,表明茨康叶属植物也是恢复古大气CO_2体积分数的良好材料。同时,通过角质层特征进行古环境重建,结果表明宝积山盆地在中侏罗世时期气候较为温和湿润。     

贵州独山地区富硫铁矿分布规律及找矿意义

独山箱状背斜上富硫铁矿床(点)星罗棋布,且常与锑、铅锌、汞相伴出现,矿体赋存于北西向与北东东向、北东向共轭剪切断裂带及其旁侧影响带内,含矿围岩主要为中泥盆统独山组灰岩、白云岩及下泥盆统丹林组和舒家坪组石英砂岩。因围岩岩性的不同,而使硫铁矿与锑、铅锌、汞之间形成不同的矿产组合,因此本区富硫铁矿不仅自身具有重要的经济价值,而且还是锑、铅锌、汞矿的间接找矿标志。     

基于FLUENT的内孤立波质量源造波方法

为研究内孤立波质量源数值造波方法,本文采用两个点源形式的质量源,分别放置于两层流体的上下层中作为内孤立波激发源。推导源项表达式,从不可压缩流体的Navier-Stokes方程出发,结合内孤立波Kd V、e Kd V理论,基于商业软件FLUENT发展了一种内孤立波质量源数值造波方法。通过数值模拟,分析了质量源造波过程中内孤立波的生成过程,并将数值模拟结果同理论及实验作对比。结果表明:基于此方法生成的内孤立波波形、波高及波致水平速度与理论及实验吻合度较好,该方法是可行的,并且耗时短、效率高。     

围填海对海洋水动力与生态环境的影响

近10年来,中国海岸带围填海活动呈现出规模大、速度快的发展态势。围填海能带来显著的经济效益,但对海洋环境与生态的负面影响也不可忽视。针对围填海对海洋环境和生态的影响及作用机制,分别从水动力和生态系统两个方面进行了概述。围填海改变了海洋的自然几何属性(原始岸线、地形地貌、海湾面积),引起水动力环境的变化(潮汐系统和海湾水交换能力),进而影响了海湾的环境容量;围填海破坏了生物栖息地、导致生物多样性的丧失,影响到生态系统结构与功能的稳定性;水动力与生物多样性的变化可显著影响到生物地球化学过程,加速富营养化进程,恶化水质,增加生态灾害风险。目前,围填海后的生态修复策略主要有增加生物量、建设自然保护区、退陆还海3种方式;而生态补偿策略则多基于“生态系统服务功能与生境面积的大小为线性关系”,通过对其经济价值的量化后进行生态补偿与实施相关政策。国际上,生态系统服务功能的量化参数逐步纳入实际管理,并在线性关系研究的基础上,逐步纳入一些非线性的理念,使生态补偿机制更为合理化;而我国对于围填海生态效应的定量化研究及科学理论在管理政策中的实际应用仍亟待提高。整体而言,全面、准确地评估围填海对海洋环境与生态的影响离不开自然科学与社会科学的交叉与融合。