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运用Delphi编程实现森林分层抽样统计计算
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作者 唐隆平 《湖南林业科技》 2004年第4期69-71,共3页
根据森林分层抽样计算公式,运用程序开发软件Delphi编制了适合于乡(镇)场和全县蓄积、误差及精度控制计算的森林分层抽样应用程序。通过实例介绍了该程序的安装、启动和操作使用方法。
关键词 森林分层 抽样 应用程序 DELPHI 统计 流程图
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基于树结构分层随机森林在非约束环境下的头部姿态估计 被引量:12
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作者 刘袁缘 陈靓影 +2 位作者 俞侃 覃杰 陈超原 《电子与信息学报》 EI CSCD 北大核心 2015年第3期543-551,共9页
头部姿态估计是人类行为和注意力的关键,受到光照、噪声、身份、遮挡等许多因素的影响。为了提高非约束环境下的估计准确率和鲁棒性,该论文提出了树结构分层随机森林在非约束环境下的多类头部姿态估计。首先,为了消除不同环境的噪声影响... 头部姿态估计是人类行为和注意力的关键,受到光照、噪声、身份、遮挡等许多因素的影响。为了提高非约束环境下的估计准确率和鲁棒性,该论文提出了树结构分层随机森林在非约束环境下的多类头部姿态估计。首先,为了消除不同环境的噪声影响,提取人脸区域的组合纹理特征,对人脸区域进行积极人脸子区域的分类,分类结果作为树结构分层随机森林的先验知识输入;其次,提出了一种树结构分层随机森林算法,分层估计多自由度下的头部姿态;再次,为了增强算法的分类能力,使用自适应高斯混合模型作为多层次子森林叶子节点的投票模型。在多个公共数据集上的多种非约束实验环境下进行头部姿态估计,最终实验结果表明所提算法在不同质量的图像上都有很好的估计准确率和鲁棒性。 展开更多
关键词 头部姿态估计 非约束环境 树结构分层随机森林 人脸积极子区域先验分类 自适应高斯混合模型
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抛物方程法在森林环境电波传播特性预测中的应用 被引量:4
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作者 刘晓娣 宋斌斌 +1 位作者 张静 毕敬腾 《电讯技术》 北大核心 2018年第3期257-262,共6页
为提高大区域森林环境电波传播特性预测的准确性,研究抛物方程(PE)法在森林环境电波传播特性预测中的应用,提出了基于抛物方程的森林模型。该模型采用PE法实现准确快速求解,考虑森林在垂直方向上的非均匀性,引入森林分层模型,将森林分... 为提高大区域森林环境电波传播特性预测的准确性,研究抛物方程(PE)法在森林环境电波传播特性预测中的应用,提出了基于抛物方程的森林模型。该模型采用PE法实现准确快速求解,考虑森林在垂直方向上的非均匀性,引入森林分层模型,将森林分为树冠、树干两个均匀有耗介质层,并根据森林区域的特性参数确定各有耗介质层的等效介电常数,相比于传统将森林等效为一个给定介电常数的均匀有耗介质层,能够更准确地描述森林对电波传播的影响。将其应用于三种常见绿叶林的电波传播特性预测中,仿真结果表明,该模型能够反映不同区域、不同植被种类的森林对电波传播的影响差异,有效预测大区域森林环境电波传播特性。 展开更多
关键词 电波传播 抛物方程 森林分层模型 等效介电常数
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一种改进随机森林算法及其在入侵检测中的应用 被引量:6
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作者 江轲 张宏进 《电子设计工程》 2021年第22期85-88,92,共5页
入侵检测(ID)是保障网络安全的有效手段之一,为了提高入侵检测系统的检测率,降低误报率,越来越多机器学习算法被应用到了其中。随机森林算法以其对高维度数据的良好表现和较强泛化能力进入了研究人员的视线。然而随机森林算法的时间复... 入侵检测(ID)是保障网络安全的有效手段之一,为了提高入侵检测系统的检测率,降低误报率,越来越多机器学习算法被应用到了其中。随机森林算法以其对高维度数据的良好表现和较强泛化能力进入了研究人员的视线。然而随机森林算法的时间复杂度通常很高,且对取值划分较多的特征有偏向,因此文中基于以上两点提出了一种改进的随机森林算法,利用K-means算法对训练集中不同类别的数据聚类,使用每一簇的样本中心代替该簇的所有样本,实现较快的建模速度。在单个决策树的建立过程中使用One-R算法快速评价各属性,加快了决策树的建立,在划分类别时采用分层式划分,增加了检测率。在NSL-KDD数据集上的实验表明,该改进算法较传统随机森林算法在各个网络攻击模式上的检测率均有所提高,其中对U2R攻击和R2L攻击的检测率提高了4%。另外,不管是建模速度还是分类速度都有较大的提升。 展开更多
关键词 入侵检测 分层随机森林 K均值聚类 One-R算法
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基于改进的随机森林的人体部件识别 被引量:1
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作者 郭天楚 吴晓雨 +1 位作者 杨磊 黄向生 《中国传媒大学学报(自然科学版)》 2014年第5期32-38,共7页
姿态估计是自然人机交互最为重要的环节,人体部件识别是姿态估计的重要步骤。本文介绍了一种基于特征预筛选的改进的随机森林的方法来识别人体各个部件。与传统的随机森林构造不同,在该方法中,对于特征空间十分庞大的实例给出了特征预... 姿态估计是自然人机交互最为重要的环节,人体部件识别是姿态估计的重要步骤。本文介绍了一种基于特征预筛选的改进的随机森林的方法来识别人体各个部件。与传统的随机森林构造不同,在该方法中,对于特征空间十分庞大的实例给出了特征预筛选方法,使得每个分裂节点的特征子集更为高效。该方法既保证了树与树之间的独立,又保证了每棵树的分类性能。在树与树之间的组合中,根据人体部件构造,引入了和分层树的组合模型方式,提高了差异较小类的分类性能,进而提高了森林的准确性。 展开更多
关键词 特征预筛选 分层随机森林 姿态估计 识别
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课程知识检索系统中检索器模块的实现 被引量:1
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作者 薛醒思 《闽江学院学报》 2008年第5期74-77,共4页
提出了一个基于领域本体的课程知识检索系统,探讨了个性化检索技术在系统的检索器模块中的应用,并详细介绍了检索器模块中基于本体的逆向最大匹配分词算法(RMM)和分层遍历森林算法的实现,为课程知识检索系统进一步的开发工作奠定了基础.
关键词 课程知识检索系统 领域本体 逆向最大匹配分词算法 分层遍历森林算法
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Vertical stratification of bat assemblages in flooded and unflooded Amazonian forests
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作者 Maria Joo Ramos PEREIRA Joo Tiago MARQUES Jorge M.PALMEIRIM 《Current Zoology》 SCIE CAS CSCD 北大核心 2010年第4期469-478,共10页
Tropical rainforests usually have multiple strata that results in a vertical stratification of ecological opportunities foranimals. We investigated if this stratification influences the way bats use the vertical space... Tropical rainforests usually have multiple strata that results in a vertical stratification of ecological opportunities foranimals. We investigated if this stratification influences the way bats use the vertical space in flooded and unflooded forests of theCentral Amazon. Using mist-nets set in the canopy (17 to 35 m high) and in the understorey (0 to 3 m high) we sampled four sitesin upland unflooded forests (terra firme), three in forests seasonally flooded by nutrient-rich water (varzea), and three in forestsseasonally flooded by nutrient-poor water (igapo). Using rarefaction curves we found that species richness in the understorey andcanopy were very similar. An ordination analysis clearly separated the bat assemblages of the canopy from those of the understorey inboth flooded and unflooded habitats. Gleaning carnivores were clearly associated with the understorey, whereas frugivores wereabundant in both strata. Of the frugivores, Carollinae and some Stenodermatinae were understorey specialists, but several Stenodermatinaemostly used the canopy. The first group mainly includes species that, in general, feed on fruits of understorey shrubs,whereas the second group feed on figs and other canopy fruits. We conclude that vertical stratification in bat communities occurseven within forests with lower canopy heights, such as Amazonian seasonally flooded forests, and that the vertical distribution ofbat species is closely related to their diet and foraging behaviour. 展开更多
关键词 AMAZON Bats CHIROPTERA Vertical stratification FLOODPLAIN
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Feature analysis of LIDAR waveforms from forest canopies 被引量:6
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作者 LIU QingWang LI ZengYuan +3 位作者 CHEN ErXue PANG Yong LI ShiMing TIAN Xin 《Science China Earth Sciences》 SCIE EI CAS 2011年第8期1206-1214,共9页
Airborne light detection and ranging (LIDAR) can detect the three-dimensional structure of forest canopies by transmitting laser pulses and receiving returned waveforms which contain backscatter from branches and leav... Airborne light detection and ranging (LIDAR) can detect the three-dimensional structure of forest canopies by transmitting laser pulses and receiving returned waveforms which contain backscatter from branches and leaves at different heights.We established a solid scatterer model to explain the widened durations found in analyzing the relationship between laser pulses and forest canopies,and obtained the corresponding rule between laser pulse duration and scatterer depth.Based on returned waveform characteristics,scatterers were classified into three types:simple,solid and complex.We developed single-peak derivative and multiple-peak derivative analysis methods to retrieve waveform features and discriminate between scatterer types.Solid scatterer simulations showed that the returned waveforms were widened as scatterer depth increased,and as space between sub-scatterers increased the returned waveforms developed two peaks which subsequently developed into two separate sub-waveforms.There were slight differences between the durations of simulated and measured waveforms.LIDAR waveform data are able to describe the backscatter characteristics of forest canopies,and have potential to improve the estimation accuracy of forest parameters. 展开更多
关键词 remote sensing forest canopy LIDAR waveform feature solid scatterer
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Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography 被引量:1
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作者 Jia-yin SONG Wen-long SONG +1 位作者 Jian-ping HUANG Liang-kuan ZHU 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2016年第8期741-749,共9页
Analysis of forest canopy hemisphere images is one of the most important methods for measuring forest canopy structure parameters. In this study, our main focus was on using circular image region segmentation, which i... Analysis of forest canopy hemisphere images is one of the most important methods for measuring forest canopy structure parameters. In this study, our main focus was on using circular image region segmentation, which is the basis of forest canopy hemispherical photography. The boundary of a forest canopy hemisphere image was analyzed via histogram, rectangle, and Fourier descriptors. The image boundary characteristics were defined and obtained based on the following:(1) an edge model that contains three parts, i.e., step, ramp, and roof;(2) boundary points of discontinuity;(3) an edge that has a linear distribution of scattering points. On this basis, we proposed a segmentation method for the circular region in a forest canopy hemisphere image, fitting the circular boundary and computing the center and radius by the least squares method. The method was unrelated to the parameters of the image acquisition device. Hence, this study lays a foundation for automatically adjusting the parameters of high-performance image acquisition devices used in forest canopy hemispherical photography. 展开更多
关键词 Fisheye lens Least squares method Image segmentation Ecology in image processing Hemispherical photography
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