检索结果-南通市图书馆

multi-resolution image segmentation based on Gaussian mixture model

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Systems Engineering and Electronics 2006年第4期17卷 870-874页

作者： Tang Yinggan Liu Dong Guan Xinping Inst. of Electrical Engineering Yanshan Univ. Qinhuangdao 066004 P. R. China

Mixture model based image segmentation method, which assumes that image pixels are independent and do not consider the position relationship between pixels, is not robust to noise and usually leads to misclassification. A new segmentation method, called multi-resolution Ganssian mixture model method, is proposed. First, an image pyramid is constructed and son-father link relationship is built between each level of pyramid. Then the mixture model segmentation method is applied to the top level. The segmentation result on the top level is passed top-down to the bottom level according to the son-father link relationship between levels. The proposed method considers not only local but also global information of image, it overcomes the effect of noise and can obtain better segmentation result. Experimental result demonstrates its effectiveness.

关键词： image segmentation multi-resolution Ganssian mixture model.

Modeling in multi-resolution and Its Applications

在线全文

学校读者我要写书评

暂无评论

Journal of Computer Science & Technology 2006年第2期21卷 272-278页

作者： Sungchan Kim Kunwoo Lee Taesik Hong Moonki Jung School of Mechanical and Aerospace Engineering Seoul National University San 56-1 Sillim-Dong Gwanak-Gu Seoul 151-752 Korea

It is becoming common for many designers to work together on very complex assemblies in a collaborative environment. To work efficiently in this environment, the capabilities to simplify the portions of an assembly and to reset it to the original resolution should be added to the current CAD systems. Thus operators realizing multi-resolution on B-rep were proposed in previous work. This paper illustrates a prototype multi-resolution system to integrate the proposed operators and its applications. The multi-resolution system can be used in similarity comparisons to reduce the calculation load and to get the full comparison result in the overall shape. Then the features recognized with this system can be used in more detailed comparisons. This system also can be used conceptually to solve security problems in collaborative design.

关键词： collaborative design level of detail multi-resolution similarity comparison

Winter wheat identification by integrating spectral and temporal information derived from multi-resolution remote sensing data

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Integrative Agriculture 2019年第11期18卷 2628-2643页

作者： ZHANG Xi-wang LIU Jian-feng Zhenyue Qin QIN Fen Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions Ministry of EducationKaifeng 475004P.R.China Research School of Computer Science The Australian National UniversityCanberra 2601Australia College of Environment and Planning Henan UniversityKaifeng 475004P.R.China Yellow River Conservancy Technical Institute Kaifeng 475004P.R.China Institute of Urban Big Data Henan UniversityKaifeng 475004P.R.China

Timely crop acreage and distribution information are the basic data which drive many agriculture related *** identifying crop types based on remote sensing,methods using only a single image type have significant *** research that integrates fine and coarser spatial resolution images,using techniques such as unmixing methods,regression models,and others,usually results in coarse resolution abundance without sufficient detail within pixels,and limited attention has been paid to the spatial relationship between the pixels from these two kinds of *** we propose a new solution to identify winter wheat by integrating spectral and temporal information derived from multi-resolution remote sensing data and determine the spatial distribution of sub-pixels within the coarse resolution ***,the membership of pixels which belong to winter wheat is calculated using a 25-m resolution resampled Landsat Thematic Mapper(TM)image based on the Bayesian ***,the winter wheat abundance(acreage fraction in a pixel)is assessed by using a multiple regression model based on the unique temporal change features from moderate resolution imaging spectroradiometer(MODIS)time series ***,winter wheat is identified by the proposed Abundance-Membership(AM)model based on the spatial relationship between the two types of ***,winter wheat is identified by comparing the spatially corresponding 10×10 membership pixels of each abundance *** other words,this method takes advantage of the relative size of membership in a local space,rather than the absolute size in the entire study *** method is tested in the major agricultural area of Yiluo Basin,China,and the results show that acreage accuracy(Aa)is 93.01%and sampling accuracy(As)is 91.40%.Confusion matrix shows that overall accuracy(OA)is 91.4%and the kappa coefficient(Kappa)is *** values are significantly improved compared to the traditional Maximum Likeli

关键词： temporal change characteristics membership abundance winter wheat multi-resolution remote sensing

Study on threshold segmentation of multi-resolution 3D human brain CT image

在线全文

学校读者我要写书评

暂无评论

Journal of Innovative Optical Health Sciences 2018年第6期11卷 78-86页

作者： Ling-ling Cui Hui Zhang The First Hospital A±liated to Jinzhou Medical University Jinzhou 121001 P.R.China

In order to effectively improve the pathological diagnosis capability and feature resolution of 3D human brain CT images,a threshold segmentation method of multi-resolution 3D human brain CT image based on edge pixel grayscale feature decomposition is proposed in this *** this method,first,original 3D human brain image information is collected,and CT image filtering is performed to the collected information through the gradient value decomposition method,and edge contour features of the 3D human brain CT image are ***,the threshold segmentation method is adopted to segment the regional pixel feature block of the 3D human brain CT image to segment the image into block vectors with high-resolution feature points,and the 3D human brain CT image is reconstructed with the salient feature point as *** results show that the method proposed in this paper can provide accuracy up to 100%when the signal-to-noise ratio is 0,and with the increase of signal-to-noise ratio,the accuracy provided by this method is stable at 100%.Comparison results show that the threshold segmentation method of multi-resolution 3D human brain CT image based on edge pixel grayscale feature decomposition is signicantly better than traditional methods in pathological feature estimation accuracy,and it effectively improves the rapid pathological diagnosis and positioning recognition abilities to CT images.

关键词： multi-resolution 3D human brain CT image segmentation feature extraction recognition

A GPU-based multi-resolution algorithm for simulation of seed dispersal

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Zhejiang University-Science C(Computers and Electronics) 2012年第11期13卷 816-827页

作者： Jing FAN Hai-feng JI Xin-xin GUAN Ying TANG School of Computer Science and Technology Zhejiang University of TechnologyHangzhou 310023China

In forest dynamics models, the intensive computation and load involved in the simulation of seed dispersal can become unbearably huge for large-scale forest analysis. To solve this problem, we propose a multi-resolution algorithm to compute seed dispersal on GPU. By exploiting the computation parallelism of seed dispersal, the computation of the whole forest plot is divided into multiple small plot cells, which are computed independently by parallel threads on GPU. To further improve the calculation efficiency with limited threads scale for GPU computation, we propose a hierarchical method to cluster the plot cells into a multi-resolution form according to the biological curves of tree seed dispersal. Experimental results show that our algorithm not only greatly reduces computational time but also obtains comparably correct results as compared to the naive GPU algorithm, which makes it especially suitable for large-scale forest modeling.

关键词： GPU Seed dispersal Large-scale multi-resolution Data clustering

multi-resolution Fourier Analysis Part I: Fundamentals

在线全文

学校读者我要写书评

暂无评论

International Journal of Communications, Network and System Sciences 2011年第6期4卷 364-371页

作者： Nourédine Yahya Bey 不详

In the first paper of this series, we propose a multi-resolution theory of Fourier spectral estimates of finite duration signals. It is shown that multi-resolution capability, achieved without further observation, is obtained by constructing multi-resolution signals from the only observed finite duration signal. Achieved resolutions meet bounds of the uncertainty principle (Heisenberg inequality). In the forthcoming parts of this series, multi-resolution Fourier performances are observed, applied to short signals and extended to time-frequency analysis.

关键词： multi-resolution Spectral Analysis Fourier Analysis resolution Frequency resolution

A multi-resolution SPECTRUM SENSING (MRSS) SCHEME UNDER MEASUREMENT-BASED CHANNEL MODELS IN COGNITIVE RADIO

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Electronics(China) 2010年第5期27卷 639-646页

作者： Gou Tianhang Sun Kun Li Yingzhe Li Pengpeng Wang Ping Shanghai Institute of Microsystem and Information Technology Chinese Academy of Science Shanghai 200050China

Spectrum sensing is one of the key technologies in Cognitive Radios(CRs).Previous works are accomplished under simple channel models,which may lead to unreliable results when it applied to the over-the-air *** this paper,we investigate the performance of a multi-resolution Spectrum Sensing(MRSS) algorithm under measurement-based channel models in *** is a wavelet based algorithm which is suitable for non-stationary,wideband signal *** statistical mod-eling,measurement-based channel models are presented under typical urban and suburban scenarios in Shanghai,***,the performance of the MRSS algorithm is evaluated under the measure-ment-based channel *** results show that,using MRSS,the performance is always better in the scenarios where Line-Of-Sight(LOS) path exist;also,in LOS scenarios,rich scattering effect helps to increase the performance.

关键词： Spectrum sensing Cognitive Radio (CR) multi-resolution Measurement-based channel

multi-resolution Fourier Analysis Part II: Missing Signal Recovery and Observation Results

在线全文

学校读者我要写书评

暂无评论

International Journal of Communications, Network and System Sciences 2012年第1期5卷 28-36页

作者： Nourédine Yahya Bey 不详

In this paper, we report application procedures and observed results of multi-resolution Fourier analysis proposed in the first part of this series. Missing signal recovery derived from multi-resolution theory is developed. It is shown that multi-resolution Fourier analysis enhances dramatically performances of Fourier spectra suffering limitations traced to implicit time windowing. Observed frequency resolutions, improvement of frequency estimations, contraction of spectral leakage and recovery of missing parts of finite duration signals are in accordance with theoretical predictions.

关键词： Fourier multi-resolution Spectral Analysis Frequency Estimation Frequency resolution Spectral Leakage Missing Parts Signal Recovery

multi-resolution Landslide Susceptibility Analysis Using a DEM and Random Forest

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Geosciences 2016年第5期7卷 726-743页

作者： Uttam Paudel Takashi Oguchi Yuichi Hayakawa Department of Natural Environmental Studies Graduate School of Frontier Sciences The University of Tokyo Kashiwanoha Kashiwa Japan Center for Spatial Information Sciences The University of Tokyo Kashiwanoha Kashiwa Japan

Landslide susceptibility (LS) mapping is a requisite for safety against sediment related disasters, and considerable effort has been exerted in this discipline. However, the size heterogeneity and distribution of landslides still impose challenges in selecting an appropriate scale for LS studies. This requires identification of an optimal scale for landslide causative parameters. In this study, we propose a method to identify the optimum scale for each parameter and use multiple optimal parameter-scale combinations for LS mapping. A random forest model was used, together with 16 geomorphological parameters extracted from 10, 30, 60, 90, 120, 150, and 300 m digital elevation models (DEMs) and an inventory of historical landslides. Experiments in two equal-sized (625 km2) areas in Niigata and Ehime, Japan, with different geological and environmental settings and landslide density, demonstrated the efficiency of the proposed method. It outperformed all other single scale LS analysis with a prediction accuracy of 79.7% for Niigata and 78.62% for Ehime. Values of areas under receiver operating characteristics (ROC) curves (AUC) of 0.877 and 0.870 validate the application of the multi-scale model.

关键词： multi-resolution Landslide Susceptibility DEM Random Forest