HU Peng, BAI Yiduo, HU Hai. Elevation Order Isomorphism Characteristics of DEM[J]. Geomatics and Information Science of Wuhan University, 2009, 34(3): 352-357.
Citation: HU Peng, BAI Yiduo, HU Hai. Elevation Order Isomorphism Characteristics of DEM[J]. Geomatics and Information Science of Wuhan University, 2009, 34(3): 352-357.

Elevation Order Isomorphism Characteristics of DEM

Funds: 国家自然科学基金资助项目(40424006,40471107,40571124,40701155)
More Information
  • Received Date: January 16, 2009
  • Revised Date: January 16, 2009
  • Published Date: March 04, 2009
  • We discover and define the order isomorphism characteristics of DEM,then point out that the order isomorphism characteristics of elevation is one of the most important theoretical problems of DEM.Based on it,we prove that the prerequisite qualifications of order isomorphism of DEM are the topological correspondence with ground during interpolation being generated.Moreover,we demonstrate that the order isomorphism characteristics of three main interpolation methods about DEM generation.
  • Related Articles

    [1]LONG Yujie, LI Weile, HUANG Runqiu, XU Qiang, YU Bin, LIU Gang. Automatic Extraction and Evolution Trend Analysis of Landslides in Mianyuan River Basin in the 10 Years After Wenchuan Earthquake[J]. Geomatics and Information Science of Wuhan University, 2020, 45(11): 1792-1800. DOI: 10.13203/j.whugis20200180
    [2]HE Chu, LIU Ming, XU Lianyu, LIU Longzhu. A Hierarchical Classification Method Based on Feature Selection and Adaptive Decision Tree for SAR Image[J]. Geomatics and Information Science of Wuhan University, 2012, 37(1): 46-49.
    [3]XIONG Biao, JIANG Wanshou, LI Lelin. Gauss Mixture Model Based Semi-Supervised Classification for Remote Sensing Image[J]. Geomatics and Information Science of Wuhan University, 2011, 36(1): 108-112.
    [4]TAO Jianbin, SHU Ning, GONG Yan, SHEN Zhaoqing. An Instructed Unsupervised Classification Method for Remote Sensing Image Based on Gaussian Mixture Model[J]. Geomatics and Information Science of Wuhan University, 2010, 35(6): 727-732.
    [5]SHEN Zhaoqing, SHU Ning, TAO Jianbin. An Algorithm of Weighted “1 V m” SVM Multi-classification for Hyperspectral Remote Sensing Image with NPA[J]. Geomatics and Information Science of Wuhan University, 2009, 34(12): 1444-1447.
    [6]ZOU Tongyuan, YANG Wen, DAI Dengxin, SUN Hong. An Unsupervised Classification Method of POLSAR Image[J]. Geomatics and Information Science of Wuhan University, 2009, 34(8): 910-913.
    [7]YIN Shuling, SHU Ning, LIU Xinhua. Classification of Remote Sensing Image Based on Adaptive GA and Improved BP Algorithm[J]. Geomatics and Information Science of Wuhan University, 2007, 32(3): 201-204.
    [8]CHEN Ziyi, KANG Lishan. Multi-Parent Crossover Evolutionary Algorithm for Constrained Optimization[J]. Geomatics and Information Science of Wuhan University, 2006, 31(5): 440-443.
    [9]CHENMi, YIYaohua, LIDeren, QINQianqing. Application of Projection Pursuit Based on Dynamical Evolutionary Algorithm to Anomaly Target Detection in Hyperspectral Images[J]. Geomatics and Information Science of Wuhan University, 2006, 31(1): 55-58.
    [10]Zheng Zhaobao, Zheng Hong. The Image Texture Classification Based on Genetic Algorithms[J]. Geomatics and Information Science of Wuhan University, 1998, 23(4): 337-339.

Catalog

    Article views PDF downloads Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return