高分六号遥感卫星新增波段下的树种分类精度分析     

张沁雨  李哲  夏朝宗  陈健  彭道黎 《地球信息科学学报》2019,21(10):1619-1628

高分六号卫星具有覆盖广、多种分辨率、波段多的优势,能为遥感解译提供更丰富的信息。为探究高分六号卫星新增波段在森林树种识别上的应用,本文以覆盖根河市阿龙山林业局的一期高分六号宽幅影像为数据源,基于特征优化空间算法（Feature Space Optimization,FSO）和最大似然分类法,分别利用高分六号的前4个波段和所有波段（8波段）的光谱、纹理等特征进行了森林树种分类,并逐一添加新增波段特征确定了各波段的贡献率排名。结果表明：在加入了优选出的均匀性纹理、均值纹理和角二阶矩纹理3种纹理特征后,前4波段和8波段的分类精度比只基于光谱特征时的精度分别高出13.23%和24.63%;利用8波段信息比只利用前4波段在基于光谱特征上的精度高11.88%,在基于光谱+纹理特征上则高23.24%;基于8波段光谱+纹理特征的树种分类精度最高,达到68.74%,新增4波段的贡献率排名为B6>B5>B8>B7,说明新增红边波段对于本次树种分类试验的贡献率最高,能为北方树种识别提供有效帮助。  相似文献   

宽频带超导重力仪的研制进展          下载免费PDF全文

刘习凯  马东  陈亮  刘向东 《地球物理学报》2018,61(7):3037-3043

本文报道一种构建宽频带高分辨率超导重力仪（SG）的方法.与已商业化的GWR超导重力仪类似，新型超导重力仪同样使用磁悬浮超导检验质量来构建弹簧振子结构，不同的是弹簧振子的固有频率更高，可以有效覆盖地脉动频带.同时，利用基于超导量子干涉器件（SQUID）的位移传感技术，大幅提高了位移传感灵敏度，以保证仪器在测量带宽扩展之后仍具有与GWR仪器相当的测量分辨率，从而实现对时变重力信号与地球背景噪声信号的同时高分辨观测.宽频带超导重力仪核心部件垂向超导加速度计（VSA）的设计、组装和初步测试已经完成.结果表明，加速度计的噪声本底为8 μGal/Hz^1/2@0.1 Hz，实现了对地脉动信号的高分辨率测量.而为了将仪器噪声本底降低到GWR仪器水平，加速度计的固有频率需要进一步减小，该部分参数优化工作正在进行.本文将对垂向超导加速度计的工作原理、结构和测试结果进行详细介绍.  相似文献   

A multiscaling‐based intensity–duration–frequency model for extreme precipitation          下载免费PDF全文

Hans Van de Vyver 《水文研究》2018,32(11):1635-1647

Rainfall intensity–duration–frequency (IDF) curves are a standard tool in urban water resources engineering and management. They express how return levels of extreme rainfall intensity vary with duration. The simple scaling property of extreme rainfall intensity, with respect to duration, determines the form of IDF relationships. It is supposed that the annual maximum intensity follows the generalized extreme value (GEV) distribution. As well known, for simple scaling processes, the location parameter and scale parameter of the GEV distribution obey a power law with the same exponent. Although, the simple scaling hypothesis is commonly used as a suitable working assumption, the multiscaling approach provides a more general framework. We present a new IDF relationship that has been formulated on the basis of the multiscaling property. It turns out that the GEV parameters (location and scale) have a different scaling exponent. Next, we apply a Bayesian framework to estimate the multiscaling GEV model and to choose the most appropriate model. It is shown that the model performance increases when using the multiscaling approach. The new model for IDF curves reproduces the data very well and has a reasonable degree of complexity without overfitting on the data.  相似文献   

An overview of clustering methods for geo-referenced time series: from one-way clustering to co- and tri-clustering     

Xiaojing Wu  Raul Zurita-Milla  Changqing Song 《International journal of geographical information science》2020,34(9):1822-1848

  相似文献   

波段选择协同表达高光谱异常探测算法     

朱德辉  杜博  张良培 《遥感学报》2020,24(4):427-438

高光谱遥感影像具有光谱分辨率极高的特点,承载了大量可区分不同类型地物的诊断性光谱信息以及区分亚类相似地物之间细微差别的光谱信息,在目标探测领域具有独特的优势。与此同时,高光谱遥感影像也带来了数据维数高、邻近波段之间存在大量冗余信息的问题,高维度的数据结构往往使得高光谱影像异常目标类和背景类之间的可分性降低。为了缓解上述问题,本文提出了一种基于波段选择的协同表达高光谱异常探测算法。首先,使用最优聚类框架对高光谱波段进行选择,获得一组波段子集来表示原有的全部波段,使得高光谱影像异常目标类与背景类之间的可分性增强。然后使用协同表达对影像上的像元进行重建,由于异常目标类和背景类之间的可分性增强,对异常目标像元进行协同表达时将会得到更大的残差,异常目标像元的输出值增大,可以更好地实现异常目标和背景类的分离。本文使用了3组高光谱影像数据进行异常目标探测实验,实验结果表明,该方法与其他现有高光谱异常目标探测算法对比,曲线下面积AUC(Area Under Curve)值更高,可以更好地实现异常目标与背景分离,能够更有效地对高光谱影像进行异常目标探测。  相似文献   

结合POI数据的道路自动选取方法     

徐智邦  王中辉  闫浩文  武芳  段晓旗  孙立 《地球信息科学学报》2018,20(2):159-166

人们对道路重要性的认知与道路周边设施有重要关系,针对现有地图综合道路选取方法中对语义特征考虑不足的问题,将POI数据引入到道路的语义特征分析中,提出一种综合考虑道路空间特征和语义特征的道路综合自动选取方法。首先,结合POI位置数据构造了道路语义特征度量的3个新参量：设施点密度、重要设施比率和专题设施比率;然后,与道路长度、连接值、总深度值、平均线密度等反映道路几何、拓扑和分布特征的度量参量一起,通过归一化和熵值法赋权进行整合计算,得到道路重要性值;最后,综合考虑道路重要性值、道路stroke构成和stroke连通度的约束条件进行道路的分步选取。实验结果表明,该方法在保留主要道路、保持道路分布疏密特征和道路连通性的同时,较好地顾及了道路的语义特征信息。  相似文献   

A multidirectional conditional spectrum     

《地震工程与结构动力学》2018,47(4):945-965

This paper presents a procedure to generate multidirectional conditional spectra (MDCS) that allow for the characterisation of seismic demands at different angles of incidence. Being conditional on a particular period and its direction of maximum response, it is considered to be a natural evolution of the conditional spectrum to account for the effects of directionality, that is, the variation of seismic demands as a function of the angle of incidence of ground motions, which can have a significant effect on the performance of different kinds of structures. The three main components needed for the generation of MDCS are explained in detail. Monte Carlo simulations are conducted using different sampling methods to assess the effects of incorporating the correlation between demands at different orientations for the same oscillator period, and a novel correlation model is proposed for this purpose. The statistical characteristics of MDCS, their relation with the conditional spectrum, the advantages of the MDCS over previous definitions of orientation‐specific spectra, and prospective future developments are discussed.  相似文献   

A novel coupled FDM-DEM modelling method for flexible membrane boundary in laboratory tests     

Hua-Xiang Zhu  Zhen-Yu Yin  Qiang Zhang 《国际地质力学数值与分析法杂志》2020,44(3):389-404

Difficulties are involved in discrete element method (DEM) modelling of the flexible boundary, that is, the membranes covering the soil sample, which can be commonly found in contemporary laboratory soil tests. In this paper, a novel method is proposed wherein the finite difference method (FDM) and DEM are coupled to simulate the rubber membrane and soil body, respectively. Numerical plane strain and triaxial tests, served by the flexible membrane, are implemented and analysed later. The effect of the membrane modulus on the measurement accuracy is considered, with analytical formulae derived to judge the significance of this effect. Based on an analysis of stress-strain responses and the grain rotation field, the mechanical performances produced by the flexible and rigid lateral boundaries are compared for the plane strain test. The results show that (1) the effect of the membrane on the test result becomes more significant at larger strain level because the membrane applies additional lateral confining pressure to the soil body; (2) the tested models reproduce typical stress and volumetric paths for specimens with shear bands; (3) for the plane strain test, the rigid lateral boundary derives a much higher peak strength and larger bulk dilatation, but a similar residual strength, compared with the flexible boundary. The latter produces a more uniform (or ‘diffuse') rotation field and more mobilised local kinematics than does the former. All simulations show that the proposed FDM-DEM coupling method is able to simulate laboratory tests with a flexible boundary membrane.  相似文献   

国外军事地质学热点问题     

李万伦  吕鹏  孟庆奎  王铭晗 《地质论评》2020,66(1):189-196

近年来以美国为代表的西方军事强国在军事地质学领域已取得了很大进展,尤其在应对未来战争方面作了许多准备。通过系统搜集国际军事地球科学会议(ICMG)和美国地质学会(GSA)有关军事地质学的最新专题研讨会论文与其他公开出版资料,梳理了当前国外军事地质学研究的热点问题并阐述了其新进展,其中作战领域包括地形情报研究、军事基地选址、潜在特殊战场环境调查、地下重要设施评价、非常规作战环境调查;非作战领域则包括抢险救灾、生态环境保护和环境安全评价等。最后分析了当前军事地质学研究存在的问题,并指出了其未来发展趋势。  相似文献   

An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing     

《International Journal of Applied Earth Observation and Geoinformation》2020

New Earth observation missions and technologies are delivering large amounts of data. Processing this data requires developing and evaluating novel dimensionality reduction approaches to identify the most informative features for classification and regression tasks. Here we present an exhaustive evaluation of Guided Regularized Random Forest (GRRF), a feature selection method based on Random Forest. GRRF does not require fixing a priori the number of features to be selected or setting a threshold of the feature importance. Moreover, the use of regularization ensures that features selected by GRRF are non-redundant and representative. Our experiments based on various kinds of remote sensing images, show that GRRF selected features provides similar results to those obtained when using all the available features. However, the comparison between GRRF and standard random forest features shows substantial differences: in classification, the mean overall accuracy increases by almost 6% and, in regression, the decrease in RMSE almost reaches 2%. These results demonstrate the potential of GRRF for remote sensing image classification and regression. Especially in the context of increasingly large geodatabases that challenge the application of traditional methods.  相似文献