Distribution and invasion of Spartina alterniflora within the Jiaozhou Bay monitored by remote sensing image

Spartina alterniflora as an alien invasive plant, poses a serious threat to the ecological functions of the coastal wetland of the Jiaozhou Bay. As of 2019, the distribution area of S. alterniflora in the Jiaozhou Bay has reached more than 500 hm². For this reason, combined with field surveys, remote sensing monitoring of the invasion S.alterniflora in the Jiaozhou Bay has been carried out. To accurately identify S. alterniflora within the Jiaozhou Bay coastal wetland, we used a new m...     

基于深度学习的循环水养殖鳗鲡(Anguilla)计数研究

鳗鲡(Anguilla)作为我国优质水产养殖种类,精准掌握其数量对高效养殖有重要意义。为实现对循环水养殖鳗鲡的准确计数,提出了一种基于深度学习的改进Faster RCNN模型。针对检测目标即鳗鲡头部尺寸小的问题,选择在特征提取网络ResNet50中加入FPN结构来作为模型的骨干网络,以提取并融合多尺度的特征;针对原模型锚框都是基于人工经验设置的,并不适用于鳗鲡数据集的问题,使用k-means聚类算法对训练集中标注的鳗鲡头部检测框进行聚类分析,获得了适合鳗鲡数据集的15种不同尺度的锚框;针对图像中存在鳗鲡头部重叠的问题,选择使用Soft-NMS算法替代原NMS算法对RPN部分生成的候选框进行筛选,以减少模型对鳗鲡重叠部分的漏检情况。试验结果表明:改进后的Faster RCNN模型对鳗鲡头部的检测精度(mAP^0.5)高达96.5%,较原Faster RCNN模型(Backbone为ResNet50)显著提升了14%,与SSD300和YOLOV3模型相比分别显著提升了24.9%和15%;在鳗鲡计数上,利用改进后的Faster RCNN模型检测结果进行计数,计数准确率达到90%以上,提升了模型对鳗鲡的检测识别能力。     

基于卷积神经网络的ICESat-2光子点云去噪分类

ICESat-2（Ice, Cloud, and land Elevation Satellite-2）是美国NASA（National Aeronautics and Space Administration）在2018年发射的激光测高卫星,其上搭载的激光测高系统ATLAS（Advanced Topographic Laser Altimeter System）采用微脉冲多波束光子计数激光雷达系统,因其低能耗、高探测灵敏度、高重复频率的特性极大改善了沿轨采样密度,但也使获取的数据中包含大量的噪声,如何有效实现光子点云去噪分类成为后续应用的关键,也是当前研究的热点和难点,为此本文提出一种基于卷积神经网络的光子点云去噪和分类算法。首先将光子点云按照沿轨和高程方向划分格网,去除明显的噪声光子,并将每个粗信号光子点栅格化为影像;然后基于少量样本构建的卷积神经网络分类模型实现光子点云精去噪和分类;最后利用机载激光雷达数据进行验证,并与ATL08产品的去噪分类结果进行对比。结果表明,对于裸地和森林区域,卷积神经网络算法均能有效去除噪声光子,特别对于森林区域,可同时实现去噪和分类;其中,裸地区域地表计算的R²和RMSE分别为1.0和0.72 m,森林区域地表和树冠计算的R²分别为1.0和0.70, RMSE分别为1.11 m和4.99 m。本文利用深度学习算法实现光子点云去噪分类,在裸地和森林区域均取得了较好的结果,为后续光子点云数据处理提供了参考。     

基于“数字城市”地理空间框架的国土资源档案管理系统的设计与实现

"数字城市"地理空间框架建设中发布的地理信息数据具有丰富性、多样性及准确性等诸多明显优势,基于该框架开发的国土资源档案管理系统,不仅可以使各类档案实现在线信息化管理,并且对地籍档案、建设用地档案及利用规划类档案实现在线位置查询及浏览具有很大作用,可以极大地提高档案信息化管理和应用水平。     

山东省栖霞市笏山-西陡崖金矿地质特征及深部找矿远景

笏山-西陡崖金矿为台前-陡崖成矿带2012年新提交的大型金矿床,该金矿严格受台前-陡崖断裂带控制,-675m标高以上累计探明资源储量金金属量30t,通过对其成矿地质背景、矿床地质特征及矿床成因、找矿标志、成矿规律的总结分析,指出了深部-1 000m标高以深的找矿远景,为进一步开展深部及走向上继续"攻深找盲"提供了依据。     

基于SOA云服务的济宁市电子政务服务平台研究

基于政务网的政府各部门横向与纵向信息共享及业务协同的需求十分迫切,传统的单向共享模式的应用瓶颈日益突出,结合济宁市政务信息平台建设的实际环境及需求,设计了基于SOA云服务的政府部门间信息资源共享及在线业务协同平台的框架,实现了政府各部门之间数据有序交换和资源共享,建立了数据建设规范和业务协同机制,极大地提升了政务办公自动化水平。     

Making a Mark: a computational and visual analysis of one researcher’s intellectual domain

Dr. David Mark is widely regarded as a path-breaking researcher in geographic information science. What are the structural and temporal characteristics of his intellectual contributions, as seen through the eyes of the broader academic community? Aiming to answer that question, this article presents a scientometric analysis of publications that have been cited alongside David Mark’s papers. In deliberate contrast to the widespread focus on using citation data to condense scientific impact into a handful of indicators, the methodological contribution of this study lies in its mix of computational and visualization approaches. In the search for latent domain structures, state-of-the-art practices in information science, bibliometrics, and network visualization are combined and extended. An initial network of 50,000+ publications and 4,000,000+ document co-citations undergoes a series of transformations reducing it to 9000 publications that are then clustered in a two-stage process, leading to 678 communities whose co-citation linkages are used to delineate 19 super-communities. To enable replication of this approach for other studies, much focus in this article is on detailed discussion of that workflow as well as on highlighting the reasoning behind the choices made among data sources and analytical methods. The topical evolution of David Mark’s domain of influence is explored in some detail, based on tabular and graphic representations of extracted community structures. Results confirm not only the enormous overall breadth of his influence but also how lasting and recurrent it has been in some areas.     

An agent-integrated irregular automata model of urban land-use dynamics

Urban growth models are useful tools to understand the patterns and processes of urbanization. In recent years, the bottom-up approach of geo-computation, such as cellular automata and agent-based modeling, is commonly used to simulate urban land-use dynamics. This study has developed an integrated model of urban growth called agent-integrated irregular automata (AIIA) by using vector geographic information system environment (i.e. both the data model and operations). The model was tested for the city of San Marcos, Texas to simulate two scenarios of urban growth. Specifically, the study aimed to answer whether incorporating commercial, industrial and institutional agents in the model and using social theories (e.g. utility functions) improves the conventional urban growth modeling. By validating against empirical land-use data, the results suggest that a holistic framework such as AIIA performs better than the existing irregular-automata-based urban growth modeling.     

东海深井高温高压低孔渗储层钻井技术研究与应用

随着近年东海勘探工作量的迅速增加,钻井深度越来越深,面临着深层高温高压低孔渗地层钻井的一些重大技术难题.针对遇到的难题,分析研究了钻井技术和工艺,主要包括深部复杂压力体系井身结构优化、构建储层保护和井壁稳定性能良好的低自由水钻井液体系、高压低孔渗储层防气窜固井工艺技术、分井段钻井提速配套技术.研究成果应用表明,该套技术较好地解决了钻井过程中出现的问题,保护了储层,提高了时效,满足了产能测试的要求.     

环抱式防波堤口门航道横流三维特性研究

环抱式防波堤口门易出现较大横流,且三维特性明显。针对连云港主港区深水航道,建立三维潮流数学模型,并用现场航槽实测资料进行验证,在此基础上计算分析了不同潮差条件下口门段进港航道横流的三维特性。研究结果表明:最大横流约出现在高潮位前1.5 h,自表层至底层相继出现,且表、底层出现时刻仅相差0.5 h;因航道边坡较小,最大横流时未见水流分离现象,航槽底部没有反向流;各层最大横流值均与涨潮潮差有关,且相关程度高;航道内最大横流垂向分布梯度随潮差增加略有增大。