一种高光谱遥感图像快速谱聚类算法

为获得分类效果更优良的遥感图像分类方式并解决高光谱遥感图像分类运算速度缓慢的问题,集成Lanczos算法与谱聚类算法,探讨了高光谱遥感图像谱聚类算法应用于遥感图像分类的可行性,提出了一种面向高光谱遥感图像的快速谱聚类算法;通过对比美国圣地亚哥机场高光谱遥感图像K-均值算法与谱聚类算法的分类结果,发现面向高光谱遥感图像的谱聚类算法易于识别线性地物,且分类的速度能得到较大提升。     

Estimation of crowd density from UAVs images based on corner detection procedures and clustering analysis

With rapid developments in platforms and sensors technology in terms of digital cameras and video recordings, crowd monitoring has taken a considerable attentions in many disciplines such as psychology, sociology, engineering, and computer vision. This is due to the fact that, monitoring of the crowd is necessary to enhance safety and controllable movements to minimize the risk particularly in highly crowded incidents (e.g. sports). One of the platforms that have been extensively employed in crowd monitoring is unmanned aerial vehicles (UAVs), because UAVs have the capability to acquiring fast, low costs, high-resolution and real-time images over crowd areas. In addition, geo-referenced images can also be provided through integration of on-board positioning sensors (e.g. GPS/IMU) with vision sensors (digital cameras and laser scanner). In this paper, a new testing procedure based on feature from accelerated segment test (FAST) algorithms is introduced to detect the crowd features from UAV images taken from different camera orientations and positions. The proposed test started with converting a circle of 16 pixels surrounding the center pixel into a vector and sorting it in ascending/descending order. A single pixel which takes the ranking number 9 (for FAST-9) or 12 (for FAST-12) was then compared with the center pixel. Accuracy assessment in terms of completeness and correctness was used to assess the performance of the new testing procedure before and after filtering the crowd features. The results show that the proposed algorithms are able to extract crowd features from different UAV images. Overall, the values of Completeness range from 55 to 70 % whereas the range of correctness values was 91 to 94 %.     

Simulation of landscape spatial layout evolution in rural-urban fringe areas: a case study of Ganjingzi District

In recent years, the rapid expansion of urban spaces has accelerated the mutual evolution of landscape types. Analyzing and simulating spatio-temporal dynamic features of urban landscape can help to reveal its driving mechanisms and facilitate reasonable planning of urban land resources. The purpose of this study was to design a hybrid cellular automata model to simulate dynamic change in urban landscapes. The model consists of four parts: a geospatial partition, a Markov chain (MC), a multi-layer perceptron artificial neural network (MLP-ANN), and cellular automata (CA). This study employed multivariate land use data for the period 2000–2015 to conduct spatial clustering for the Ganjingzi District and to simulate landscape status evolution via a divisional composite cellular automaton model. During the period of 2000–2015, construction land and forest land areas in Ganjingzi District increased by 19.43% and 15.19%, respectively, whereas farmland, garden lands, and other land areas decreased by 43.42%, 52.14%, and 75.97%, respectively. Land use conversion potentials in different sub-regions show different characteristics in space. The overall land-change prediction accuracy for the subarea-composite model is 3% higher than that of the non-partitioned model, and misses are reduced by 3.1%. Therefore, by integrating geospatial zoning and the MLP-ANN hybrid method, the land type conversion rules of different zonings can be obtained, allowing for more effective simulations of future urban land use change. The hybrid cellular automata model developed here will provide a reference for urban planning and policy formulation.     

临沂市温泉（井）成热机制分析及找热方向研究

临沂市地处鲁西隆起南部,地热资源丰富。该文介绍了临沂市的地层、岩浆岩、构造、地热背景、主要控热断裂及20余眼温泉(井)的情况和分布。通过分析汤头温泉、白塔地热井、汤坊崖地热井、铜井地热井、松山地热井、新村地热井、西高都地热井等主要温泉(井)的控热断裂、成热机制,认为该区地热主要分布在沂沭断裂带与NW向深大断裂交会处,地下水补给多沿NW—SE断裂,热源以深大断裂沟通深部热源,水温、水量较好地热井均处在沂沭断裂带沂水-汤头断裂以西的、控热断裂为张性断裂或的张扭性断裂凹陷区内。结合临沂市区域地质构造特点,认为蒙山断裂与鄌郚-葛沟断裂深部交会处,尼山断裂、峄城断裂与鄌郚-葛沟断裂交会处为地热勘探靶区。     

柴达木盆地南八仙地区渐新世浅水三角洲物源及沉积演化

以古近系渐新统下干柴沟组上段(E23)为研究对象,在精细岩芯观察和钻(测)井资料综合分析的基础上,结合重矿物组合、ZTR指数、砂岩碎屑组分、粒度累积概率图和砂地比等参数综合分析结果,对柴达木盆地南八仙地区E23湖盆扩张期弱退积型浅水三角洲物源方向、砂体展布规律和沉积微相发育演化进行了深入研究。结果表明：① 南八仙地区E23沉积时期物源主要来自南祁连山中酸性岩浆岩和中高级变质岩发育区,物源方向为近北东—南西向,稳定重矿物(磁铁矿、石榴子石、白钛矿和锆石)含量高(质量分数介于81. 0%~99. 9%)、不稳定重矿物(绿帘石和角闪石)含量低。② 南八仙地区E23沉积时期为浅水三角洲—滨浅湖沉积环境,主要发育水下分流河道砂体,岩性主要为岩屑长石砂岩,其次为长石岩屑砂岩,砂体的成分成熟度一般中等—较差、分选磨圆度中等—较差,粒度概率图以反映河流作用的一跳跃一悬浮式为主;沉积构造类型多样,主要发育块状层理、正粒序层理、平行层理和槽状交错层理。③ E23沉积时期,南八仙地区继承性发育3条北东—南西向呈条带状展布的砂体富集带(砂地比值介于35%~65%之间),早期到中期砂体发育程度增强,呈进积式;中期到晚期砂体发育程度有所减弱,呈弱退积式。④ E23沉积时期,南八仙地区处于浅水三角洲前缘亚相沉积环境,持续发育3个呈北东—南西向展布的沉积朵叶体,主要发育水下分流河道微相,其次为水下分流间湾微相,早期到中期浅水三角洲前缘发育规模增大,中期到晚期发育规模减小。     

基于路网数据和复杂图论的中国城市交通布局评价

城市化的快速发展推动了我国城市道路网的不断扩张和发展.城市道路网是一个动态、开放、自组织的空间复杂网络,构成了城市的结构框架,研究城市道路网的结构特征对路网规划和城市建设有着重要的应用价值.在国内城市道路网络结构特征的相关研究中,很少有学者基于道路走向的视角对整个城市路网结构进行研究,也缺少对全国主要城市路网的整体性评...     

基于谱聚类算法的海底滑坡危险性评价

海底滑坡的危险性评价与分区,对海洋工程设施的选址和危险预防具有指导作用.本文基于无监督机器学习的谱聚类算法对黄河口埕岛海域展开了海底滑坡危险性评价,构建了输入参数为9、输出类别为4、核函数参数为0.08的海底滑坡危险性评价模型.使用该模型进行评价,将研究区分为了海底滑坡危险性高、较高、较低和低的区域.评价结果与地质环境...     

2007—2017年浙江省雷暴路径时空特征分析

基于浙江省ADTD二维闪电定位系统监测的近11 a(2007—2017)地闪数据,采用密度极大值快速搜索聚类算法和Kalman滤波算法实现对雷暴的识别及其路径的追踪,并探讨大范围雷暴过程的时空分布特征.结果表明:该方法能够有效对浙江省各类雷暴的识别追踪,共筛选出261条雷暴过程的路径,其存在明显的年变化和年际变化,年路...     

TEMPORAL AND SPATIAL CHARACTERISTICS OF RAINFALL IN THE NAM RIVER DAM BASIN OF KOREA

An investigation into rainfall variability in time and space in the Nam River dam basin of Korea is made with the use of the coefficient of variation and the correlation coefficient. The Nam River dam basin is a small mountainous watershed where wind direction and orography are the dominant influences on the pattern and distribution of rainfall. Rainfall distribution was found to vary with elevation, position, wind direction and distance from a reference station. The results of this study can be used in the design of rain gauge network, hydrological forecasting and for other applications in the Nam River dam basin.     

平缓地区地形湿度指数的计算方法

地形湿度指数( topographic wetness index) 可定量模拟流域内土壤水分的干湿状况, 在流域 的土壤及分布式水文模型等研究中具有重要的意义。但现有的地形湿度指数计算方法在应用于 地形平缓地区时会得到明显不合理的结果, 即在河谷地区内, 地形湿度指数仅在狭窄的汇水线上 数值较高, 而在汇水线以外的位置则阶跃式地变为异常低的地形湿度指数值。本文针对此问题对 地形湿度指数的计算方法提出改进: 以多流向算法MFD- fg 计算汇水面积, 相应地以最大下坡计 算地形湿度指数, 再基于一个正态分布函数对河谷平原地区内的地形湿度指数进行插值处理。应 用结果表明, 所得地形湿度指数的空间分布不但能合理地反映平缓地区坡面上的水分分布状况, 并且在河谷地区内地形湿度指数值也都比较高, 其空间分布呈平滑过渡, 因而整个研究区域的水 分分布状况得到了比较合理的反映。