高光谱图像波段选择的改进二进制布谷鸟算法     

宋广钦  杜正舜  贺智 《测绘通报》2019,(4):43-48

波段选择是高光谱遥感图像分类的重要前提，本文提出了一种用于高光谱遥感图像波段选择的改进二进制布谷鸟算法，通过使用混合二进制编码算法更新子代鸟巢和使用遗传算法交叉方式更新被发现鸟巢两个方面对二进制布谷鸟算法进行改进，找出在图像中起主要作用且相关性低的波段，实现对高光谱遥感图像降维。将本文算法运用于PaviaU数据集和AVIRIS数据集，并与二进制布谷鸟算法、二进制粒子群算法、最小冗余最大相关算法、Relief算法等进行对比分析。结果表明，改进二进制布谷鸟算法波段特征选择效率更高，且选取的波段更具代表性，能够较好地提高后续分类精度。  相似文献   

海上油田开发井钻井优化设计和应用实践          下载免费PDF全文

董振国  熊伟  龚长芳  李进宏 《探矿工程》2021,48(7):46-57

LF7-2油田位于我国南海珠江口盆地LF区块,是一个小规模油田,根据前期探井揭示,上部地层以厚层泥岩为主,极易水化、分散,使钻井液性能变差;起下钻过程中钻具遇卡、遇阻等复杂情况频繁发生;钻头选型不尽合理,易泥包;下部地层以砂泥岩互层为主,岩石致密、可钻性变差,钻具扭矩、摩阻增加,定向钻进时滑动困难,井眼轨迹控制难度大,给钻井提速增效带来诸多困难。根据探井地质情况和岩石力学剖面,利用钻井软件优选平台位置,对开发井井身结构、井眼轨迹、钻柱力学、钻井液、固井等方面进行钻井仿真模拟,制定出科学的钻井设计方案,在直井段采用“牙轮钻头+直螺杆+MWD”钻具开展防斜打直,造斜段使用“PDC钻头+弯螺杆+MWD/LWD”开展复合钻井,水平段采用“PDC钻头+PowerDriver+MWD/LWD”开展旋转导向钻井,实现精准化钻井,顺利完成6口开发井施工。现场应用单井平均机械钻速29.43 m/h,钻井工期191.59 d,工期比设计提前28.41 d,钻井提速增效显著,降低开发成本。通过PowerDriver的近钻头井斜、自然伽马实时测量和传输,减少地质误判,实现对储层顶界面的实时探测,使储层钻遇率达100%,收到较好的经济效益和投资回报,实现小油田的效益开发。  相似文献   

天陇铁路上倪滑坡工程地质特征分析及地质选线          下载免费PDF全文

李旭方 《甘肃地质》2021,(4):67-74

在天陇铁路勘察设计工作中,发现上倪滑坡是新建天水至陇南铁路一处控制性不良地质体。本文在充分获取地质资料的基础上,从地形地貌角度出发,结合其地层岩性特征,分析了滑坡成因,认为上倪滑坡在北侧和南侧各存在一个软弱面,滑坡整体稳定性较差,尤其是滑坡北侧危险性较大。通过力学计算,显示该滑坡自然状态下能够保持相对稳定,但在地震或暴雨天气下发生滑动的可能性极大,对线路工程具有严重影响。经过对三种线路方案的综合比选,建议以深埋隧道形式从后壁通过上倪滑坡,保证工程安全性。  相似文献   

基于SRTM数据的天气雷达探测环境分析研究   总被引：4，自引：3，他引：1       下载免费PDF全文

景号然  谢晓琳  郑伟  彭涛  刘娟  刘宗庆 《气象》2019,45(6):871-876

利用SRTM高程数据作为选址基础数据,结合天气雷达工作方式和探测方法,计算得到天气雷达在0.5°、1.0°、2.4°仰角上地物遮挡情况;利用高程格点数据获得3个仰角的地物剖面数据,提高了SRTM数据利用精度和运算速度;分析中结合地球曲率和电磁波折射影响,改进算法获得站点遮蔽角图,站点上空1 km、海拔3和6 km等射束高度图及数据,该分析结果充分体现了SRTM数据的高分辨率特点。最后将结果数据与GIS地图结合,完成了四川省天气雷达网探测环境分析,并给出了各个台站评估结果。  相似文献   

Household level influences on fragmentation in an African park landscape     

《Applied geography (Sevenoaks, England)》2015

The process of landscape fragmentation outside park borders occurs through the actions of people living near the boundaries. In the Kibale National Park landscape in western Uganda, human-landscape relationships are typified by small-scale subsistence agriculture, in which households rely on resources provided in forests and wetlands, whose use is in turn shaped by perceptions of resource availability. To understand and manage for fragmentation of resource pools, modeling and identifying the proximate drivers, and thus enacted resource extraction and utilization – is of fundamental importance. We combine landscape analysis at the household scale, using remotely sensed data, with household surveys, to understand the potential human drivers of local scale landscape change. We found strong evidence for a local household zone (LHZ) effect on fragmentation patterns with geographical and socioecological heterogeneities in LHZ impact. Differences were influenced by wealth, and in some cases, tribal identity. The perception of crop raiders – primarily baboons and small monkeys, but also elephants and other animals – may have largely shaped human-environment interactions, and were associated with fragmentation. Ninety-two percent of the best fit models included the attitude that the park should stay, but associated it with increased fragmentation, suggesting that the uncharacteristic non-hostile attitude about Kibale does not directly translate into conservation-friendly local human-environment interactions. This study provides insight into park–neighbor interactions and the influence of the LHZ on protected-area landscapes, and it points to important points in the system for collaborative opportunities to engage communities and conservation managers.  相似文献   

A discrete spatial choice model of burglary target selection at the house-level     

《Applied geography (Sevenoaks, England)》2015

This article studies how burglars select a house to burglarize. We draw on the rational choice perspective to investigate how burglars select a target by relying on house-related attributes to optimize a combination of perceived rewards, efforts and risk. It extends current applications of the discrete spatial choice framework to burglary target selection by adopting the house as the spatial unit of analysis and studies burglars' target selection process in a larger and more diverse study area than that of earlier studies. Using data on 650 residential burglaries and on approximately 500,000 residential properties in the Belgian province East Flanders, we consider a discrete spatial choice model of burglary target selection to establish which house-related attributes influence burglars' target selection process. Our findings demonstrate that terraced houses, houses without a garage, houses that have not been outfitted with a central heating and/or air-conditioning system and houses nearby burglars' residences are more likely to be selected. Overall, our analysis suggests that burglars rely on effort-related attributes to distinguish between targets while higher perceived rewards actually decrease the odds of a house being burglarized. Risk-related attributes are unimportant for burglars' target choice.  相似文献   

Data selection using support vector regression     

Michael B.RICHMAN  Lance M.LESLIE  Theodore B.TRAFALIS  Hicham MANSOURI 《大气科学进展》2015,32(3):277-286

Geophysical data sets are growing at an ever-increasing rate, requiring computationally efficient data selection(thinning)methods to preserve essential information. Satellites, such as Wind Sat, provide large data sets for assessing the accuracy and computational efficiency of data selection techniques. A new data thinning technique, based on support vector regression(SVR), is developed and tested. To manage large on-line satellite data streams, observations from Wind Sat are formed into subsets by Voronoi tessellation and then each is thinned by SVR(TSVR). Three experiments are performed. The first confirms the viability of TSVR for a relatively small sample, comparing it to several commonly used data thinning methods(random selection, averaging and Barnes filtering), producing a 10% thinning rate(90% data reduction), low mean absolute errors(MAE) and large correlations with the original data. A second experiment, using a larger dataset, shows TSVR retrievals with MAE < 1 m s-1and correlations 0.98. TSVR was an order of magnitude faster than the commonly used thinning methods. A third experiment applies a two-stage pipeline to TSVR, to accommodate online data. The pipeline subsets reconstruct the wind field with the same accuracy as the second experiment, is an order of magnitude faster than the nonpipeline TSVR. Therefore, pipeline TSVR is two orders of magnitude faster than commonly used thinning methods that ingest the entire data set. This study demonstrates that TSVR pipeline thinning is an accurate and computationally efficient alternative to commonly used data selection techniques.  相似文献   

城市创伤中心空间选址的层次分析模型     

朱一姝  杜清运  梁实  石光辉  林德南 《地理信息世界》2015,(3):1-7

针对城市创伤中心空间选址问题,建立包含四大类、八小类影响因素的层次分析模型,邀请不同领域的专家对构造出的判断矩阵综合打分,得出各因素的相应权重后运用到深圳市创伤中心空间选址的实例研究上。模型中所涉及的空间数据均基于网络分析,更贴合实际情况。同时,考虑到深圳市创伤中心的依托医院相对集中这一特殊情况,通过聚类分析划分区域后再使用层次分析模型选址。优化后的结果将改善深圳市创伤医疗救治资源配置、提高创伤救治效率,为创伤救治机构规划部门提供参考意见。  相似文献   

结合引力场理论的道路自动选取方法     

韩远  王中辉  徐智邦  余贝贝 《测绘科学》2021,46(1):189-195

针对复杂网络模型被广泛应用于道路选取的研究中,少有方法顾及道路网对偶图中多级邻居节点的影响,导致对道路的重要性评价缺乏准确性和可靠性的问题。该文将道路网对偶图节点的结构特征值视作质量,将节点间的最短距离视作距离,结合引力场方程实现道路自动选取,较好地将道路网对偶图中多级邻居节点的影响纳入到道路重要性的计算中,从而实现对道路重要性的准确评估。通过对兰州市城关区的路网进行实验,结果表明本文方法所选取的路网较好地保持了原始道路网的整体结构、覆盖范围、密度分布、拓扑特征和连通性。  相似文献   

面向地下空间规划建设的三维辅助决策平台研究与实现     

周文  李倩楠  石小蒙  潘良波 《测绘与空间地理信息》2021,44(1):99-102

基于为地下空间规划建设提供科学决策的目的,本文提出了基于三维仿真技术的地下空间规划建设辅助决策平台建设的思路,构建了三维辅助决策平台的整体框架,借助正元三维GIS平台Genius World,实现了对基础地理、城市地质、地下空间设施数据的一体化存储管理和三维可视化集成表达。同时,根据实际业务需求,研究并实现了集地上地下一体化剖面分析、大型建筑物选址分析、地下轨道交通选线规划、地下空间适宜性评价等于一体的地下空间辅助规划平台,提供了规划设计方案的合理性综合分析与模拟评价,提高了地下空间规划建设的科学性、规范性、严密性和高效性。最后对地下空间规划建设辅助决策做出了总体评价,并提出了下一步研究方向。  相似文献