FCM聚类算法协同Canny算子的遥感影像边缘检测方法     

吴俐民  於雪琴  黄亮 《测绘工程》2014,23(12):1-4

提出一种FCM聚类算法协同Canny算子的遥感影像边缘检测方法,算法采用中值滤波消除原始遥感影像中的非高斯噪声;采用FCM(Fuzzy C-mean)聚类算法将滤波处理后的遥感影像中的像素分为两类:边缘类像素和非边缘类像素,并得到聚类影像;最后采用Canny算子对聚类影像进行边缘检测得到遥感影像地物边缘信息。实验结果表明,文中提出的方法能有效消除遥感影像中的混合噪声并准确地检测出地物目标的边缘,是一种有效的遥感影像边缘检测方法。  相似文献   

回归直线的拟合度     

周明  任平安 《地球科学与环境学报》1999,(3)

采用模糊数学的方法研究回归直线与实测点的拟合度，提出回归直线的似合度，给出计算回归直线拟合度的方法。  相似文献   

Stage‐discharge uncertainty derived with a non‐stationary rating curve in the Choluteca River,Honduras     

I. Westerberg  J.‐L. Guerrero  J. Seibert  K. J. Beven  S. Halldin 《水文研究》2011,25(4):603-613

Uncertainty in discharge data must be critically assessed before data can be used in, e.g. water resources estimation or hydrological modelling. In the alluvial Choluteca River in Honduras, the river‐bed characteristics change over time as fill, scour and other processes occur in the channel, leading to a non‐stationary stage‐discharge relationship and difficulties in deriving consistent rating curves. Few studies have investigated the uncertainties related to non‐stationarity in the stage‐discharge relationship. We calculated discharge and the associated uncertainty with a weighted fuzzy regression of rating curves applied within a moving time window, based on estimated uncertainties in the observed rating data. An 18‐year‐long dataset with unusually frequent ratings (1268 in total) was the basis of this study. A large temporal variability in the stage‐discharge relationship was found especially for low flows. The time‐variable rating curve resulted in discharge estimate differences of ? 60 to + 90% for low flows and ± 20% for medium to high flows when compared to a constant rating curve. The final estimated uncertainty in discharge was substantial and the uncertainty limits varied between ? 43 to + 73% of the best discharge estimate. Copyright © 2010 John Wiley & Sons, Ltd.  相似文献   

Fuzzy logic model approaches to daily pan evaporation estimation in western Turkey / Estimation de l’évaporation journalière du bac dans l’Ouest de la Turquie par des modèles à base de logique floue     

《水文科学杂志》2013,58(6)

Abstract

Abstract Evaporation is one of the fundamental elements in the hydrological cycle, which affects the yield of river basins, the capacity of reservoirs, the consumptive use of water by crops and the yield of underground supplies. In general, there are two approaches in the evaporation estimation, namely, direct and indirect. The indirect methods such as the Penman and Priestley-Taylor methods are based on meteorological variables, whereas the direct methods include the class A pan evaporation measurement as well as others such as class GGI-3000 pan and class U pan. The major difficulty in using a class A pan for the direct measurements arises because of the subsequent application of coefficients based on the measurements from a small tank to large bodies of open water. Such difficulties can be accommodated by fuzzy logic reasoning and models as alternative approaches to classical evaporation estimation formulations were applied to Lake Egirdir in the western part of Turkey. This study has three objectives: to develop fuzzy models for daily pan evaporation estimation from measured meteorological data, to compare the fuzzy models with the widely-used Penman method, and finally to evaluate the potential of fuzzy models in such applications. Among the measured meteorological variables used to implement the models of daily pan evaporation prediction are the daily observations of air and water temperatures, sunshine hours, solar radiation, air pressure, relative humidity and wind speed. Comparison of the classical and fuzzy logic models shows a better agreement between the fuzzy model estimations and measurements of daily pan evaporation than the Penman method.  相似文献   

基于模糊理论的时空数据模型及算法解决     

陈珺 《测绘与空间地理信息》2009,32(1)

针对当前时空数据模型中存在的主要问题,本文提出了一种基于模糊理论的时空数据模型.该模型从时空对象演化的角度出发,结合模糊隶属度的概念,力求精确表达对象演化的整个过程及对象之间的相互关系.在此基础上,进一步分析了该模型的数据结构以及算法解决,为时空数据模型的研究提供了新的思路.  相似文献   

Comment on ‘Firat M,Güngor M. 2008. Hydrological time‐series modelling using an adaptive neuro‐fuzzy inference system. Hydrological Processes 22: 2122–2132’     

T. Erdik 《水文研究》2009,23(5):793-794

  相似文献   

GRA——FAHP模型的煤层底板突水危险性评价     

李博 《地质论评》2015,61(5):1128-1134

矿井水害一直是制约我国煤炭安全生产的重要隐患之一,对其进行准确的预测评价具有十分重要的理论意义和实用价值。本文根据煤层底板突水各影响因素之间的关系是灰色关系并且具有非线性特征的特点,建立了定量与定性指标为一体的煤层底板突水评价指标体系及等级划分标准。同时将灰色关联分析法(GRA)和模糊层次分析法(FAHP)相结合。构建了能真实反映影响因素与底板突水之间灰色关系和非线性关系的底板突水危险性评价模型,并应用模型对某典型工作面突水危险性等级进行了评价,可为今后煤层底板突水预测评价的研究提供一定的借鉴和依据。  相似文献   

包头市地下水质量评价     

邢高哲  孙恺 《地下水》2015,(2)

地下水质量评价为保护和开发地下水资源,防止和控制地下水污染,保障人民身体健康提供科学依据。结合相关地下水调查资料采用单指标评价、内梅罗指数和模糊综合评价三种方法,对包头市地下水水质分别进行评价,通过对评价结果综合分析认为:模糊综合评价结果更符合区域地下水总体特征,包头市潜水Ⅳ类、Ⅴ类占到取样点总数的36%,质量整体较差;承压水Ⅰ—Ⅲ类遍及包头市全区,质量整体较好。  相似文献   

河池市罗城县地下水环境质量评价及分析     

郭诗琪  班美玲 《地下水》2015,(1):75-78

为查清罗城县地下水情况,根据罗城县地下水监测数据和水质特点,选取高锰酸盐指数、硝酸盐氮、总硬度、氨氮、铁和锰作为评价因子,以GB/T14848-93《地下水质量标准》为评价标准,同时运用内梅罗指数法和模糊综合评价法对罗城县9个地下水监测点位(饮用水水源保护区、工业园区和矿山开采区)进行地下水环境质量评价。以模糊综合评价结果进行分析,饮用水水源保护区内地下水质良好,均达到Ⅱ类水质标准;工业园区有1个点位地下水水质超标,超标因子为总硬度;矿山开采区地下水质情况较差,有2个点位监测因子铁、锰超标,为Ⅴ类水。最后,针对罗城县地下水现状及存在的问题,提出合理的对策建议。  相似文献   

改进的模糊聚类遥感影像分割     

高国勇 《测绘与空间地理信息》2015,(6):98-100

聚类是数据挖掘的重要分支之一,引入模糊理论的模糊聚类分析为显示数据提供了模糊处理能力,在许多领域被广泛应用。本文应用考虑邻域关系的约束模糊C均值(Fuzzy C-Means with Constrains,FCM_S)算法,将邻域像素引入到目标函数中,进而有效地利用邻域像素信息,提高分割精度。本文应用FCM_S算法对模拟彩色纹理图像进行分割,计算其混淆矩阵,定性定量地与FCM算法进行对比分析,证明了该算法的鲁棒性。  相似文献