XU Kai, QIN Kun, LIU Xiuguo, LI Dengchao. Cloud Transformation Method Based on Gaussian Mixed Model and Its Application to Image Segmentation[J]. Geomatics and Information Science of Wuhan University, 2013, 38(10): 1163-1166.
Citation: XU Kai, QIN Kun, LIU Xiuguo, LI Dengchao. Cloud Transformation Method Based on Gaussian Mixed Model and Its Application to Image Segmentation[J]. Geomatics and Information Science of Wuhan University, 2013, 38(10): 1163-1166.

Cloud Transformation Method Based on Gaussian Mixed Model and Its Application to Image Segmentation

Funds: 中国博士后科学基金资助项目(20110491230);中国地质大学教育部地理信息系统软件及其应用工程研究中心开放课题资助项目(20111105);中央高校基本科研业务费专项资金资助项目(CUG120833)
More Information
  • Received Date: May 29, 2013
  • Revised Date: October 04, 2013
  • Published Date: October 04, 2013
  • This paper proposes a new cloud transformation method in order to improve the tranditional cloud transformation which cannot deal with multidimensional data. EM algorithm and fitting error of Gaussian mixed model are used to extract cloud concepts which are expressed by the digital characteristics. Image segmentation is realized by the improved menthod. The image segmentation experiments are used to compare the proposed method with traditional methods. The comparison experiments validate the proposed method.
  • [1]
    李万臣,郭逢丽,刘海亮. 基于云模型的高光谱遥感图像的分类研究[J]. 仪器仪表用户. 2011(01)[2] 巫兆聪,覃茂运,张潇. 一种顾及几何特征的云模型遥感影像分割方法[J]. 武汉大学学报(信息科学版). 2008(09)[3] 秦昆,王佩. 基于云变换的曲线拟合新方法[J]. 计算机工程与应用. 2008(23)[4] 秦昆,李德毅,许凯. 基于云模型的图像分割方法研究[J]. 测绘信息与工程. 2006(05)[5] 李德毅,孟海军,史雪梅. 隶属云和隶属云发生器[J]. 计算机研究与发展. 1995(06)[6] 李德毅,杜鹢著.不确定性人工智能[M]. 国防工业出版社, 2005
  • Related Articles

    [1]GENG Jianghui, YAN Zhe, WEN Qiang. Multi-GNSS Satellite Clock and Bias Product Combination: The Third IGS Reprocessing Campaign[J]. Geomatics and Information Science of Wuhan University, 2023, 48(7): 1070-1081. DOI: 10.13203/j.whugis20230071
    [2]CHEN Guo, WEI Na, ZHAO Qile, CAI Hongliang, XU Tianhe. Research on the Combination of Station Coordinate Products Derived from Multiple Analysis Centers[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1289-1295. DOI: 10.13203/j.whugis20170363
    [3]LIU Yanyan, YE Shirong, JIANG Peng, HUANG Zhihua, CHEN Hao, DU Zhongj in. Investi gation  to Discontinuit y in  the  IGS Final  Ephemeris and Corresponding Treatment[J]. Geomatics and Information Science of Wuhan University, 2014, 39(10): 1174-1178.
    [4]WANG Xiaoming, CHENG Yingyan, JIANG Zhihao, LIU Li. Discussion on Different Methods for Processing Regional GPS Geodetic Network by Connecting IGS Tracing Stations[J]. Geomatics and Information Science of Wuhan University, 2013, 38(4): 416-420.
    [5]LIN Xiaojing, GUO Fei, LV Cuixian, XU Yun. Impacts of Sampling Rates of IGS Satellite Clock on Convergence of Precise Point Positioning[J]. Geomatics and Information Science of Wuhan University, 2010, 35(6): 683-686.
    [6]ZHANG Xiaohong, GUO Fei, LI Xingxing. Impact of Sample Rate of IGS Satellite Clock on Precise Point Positioning[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 152-155.
    [7]WEI Na, SHI Chuang, LI Min, ZOU Rong. Analysis and Assessments of IGS Products Consistencies[J]. Geomatics and Information Science of Wuhan University, 2009, 34(11): 1363-1367.
    [8]GUO Jinyun, HWANG Cheinway, TSENG Zipang, HAN Yanben. Determination of High-Rate Clock Corrections for GPS Satellites from Observations of IGS Stations[J]. Geomatics and Information Science of Wuhan University, 2008, 33(7): 706-710.
    [9]SUN Haiyan, CHENG Yijun. Numerical Analysis of Perturbation Forces of GPS Satellites[J]. Geomatics and Information Science of Wuhan University, 2007, 32(12): 1135-1138.
    [10]YAO Yibin, SHI Chuang. On Non-linear Motion of IGS Station[J]. Geomatics and Information Science of Wuhan University, 2007, 32(5): 423-426.

Catalog

    Article views PDF downloads Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return