LI Deren, LI Qingquan, YANG Bisheng, YU Jianwei. Techniques of GIS,GPS and RS for the Development of Intelligent Transportation[J]. Geomatics and Information Science of Wuhan University, 2008, 33(4): 331-336.
Citation: LI Deren, LI Qingquan, YANG Bisheng, YU Jianwei. Techniques of GIS,GPS and RS for the Development of Intelligent Transportation[J]. Geomatics and Information Science of Wuhan University, 2008, 33(4): 331-336.

Techniques of GIS,GPS and RS for the Development of Intelligent Transportation

Funds: 国家自然科学基金资助项目(40571134),国家973计划资助项目(2006CB705500),国家863计划资助项目(2007AA12Z241)
More Information
  • Received Date: February 19, 2008
  • Revised Date: February 19, 2008
  • Published Date: April 04, 2008
  • Spatial information technology is one of three domain high techniques in the world.It is widely applying in the fields of urban planning,surveying,military,and other fields.Techniques from GIS,GPS and RS are booming in transportation studies and attracting a lot of researchers from universities,companies,and research institutes.This paper introduces the theories and methodologies for integrating spatial information technology for transportation studies.Then a lot of typical applications such as logistics management,intelligent navigation,traffic information services,and traffic securities are presented.The outlook of the integration of spatial information technology and transportation are highlighted at the end of this paper.
  • Related Articles

    [1]GAO Peng, LI Jiatian, YANG Ruchun, ZHANG Zelong, YANG Chao, ZHANG Xingyi. Remote Sensing Images Segmentation Based on Low-Dimensional Texture Feature Operator and Double-Mutant Butterfly Optimization Algorithm[J]. Geomatics and Information Science of Wuhan University, 2023, 48(1): 165-174. DOI: 10.13203/j.whugis20200496
    [2]ZHAN Zongqian, LAI Binghua, WAN Jie, LI Lou. Vegetation Detection of Close-Range Images Based on Texture Features and Naive Bayes Classifier[J]. Geomatics and Information Science of Wuhan University, 2013, 38(6): 665-668.
    [3]YU Xiaomin, ZHAN Feibing, LIAO Mingsheng, HU Jinxing. Object-oriented Feature Selection Algorithms Based on Improved SEaTH Algorithms[J]. Geomatics and Information Science of Wuhan University, 2012, 37(8): 921-924.
    [4]CHEN Jie, DENG Min, XIAO Pengfeng, YANG Minhua. Texture Segmentation Based on Gabor Filters and Ant Colony Optimization Algorithm[J]. Geomatics and Information Science of Wuhan University, 2010, 35(11): 1271-1274.
    [5]LI Zuchuan, MA Jianwen, ZHANG Rui, LI Liwei. Extracting Damaged Buildings Information Automatically Based on Textural and Morphological Features[J]. Geomatics and Information Science of Wuhan University, 2010, 35(4): 446-450.
    [6]YANG Liu, LIU Yanfang. Feature Subset Selection for Driving Forces of Cultivated Land Based on PSO-SVM[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 248-251.
    [7]TAO Yang, TANG Guoan, WANG Chun, SUN Jinglu. Influence of DEM Subset Partition on Terrain Information Content[J]. Geomatics and Information Science of Wuhan University, 2009, 34(12): 1463-1466.
    [8]JIN Shuying, LI Deren, GONG Jianya. Linear Combination of Texture Features Based on Partial Least Square Regression[J]. Geomatics and Information Science of Wuhan University, 2006, 31(5): 399-402.
    [9]ZHAO Yindi, ZHANG Liangpei, LI Pingxiang. A Texture Classification Algorithm Based on Feature Fusion[J]. Geomatics and Information Science of Wuhan University, 2006, 31(3): 278-281.
    [10]Huang Guilan, Zheng Zhaobao. On the Application of Spatial Gray Level Dependence Method in Image Texture Classification[J]. Geomatics and Information Science of Wuhan University, 1995, 20(4): 301-304.

Catalog

    Article views PDF downloads Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return