Application of MCDF operations in digital terrain model processing

被引:0
|
作者
Ma, ZQ
Watson, A
Guo, WW
机构
[1] NE Normal Univ, Dept Comp Sci, Changchun, Jilin, Peoples R China
[2] Jilin Univ, Sch Comp Sci, Changchun 130023, Jilin, Peoples R China
[3] Edith Cowan Univ, Sch Comp & Informat Sci, Mt Lawley, WA 6050, Australia
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Modified conjugate directional filtering (MCDF) is a new method proposed by Guo and Watson in 2002 for digital data and image processing. It provides ability in not only integrating directional-filtered results in conjugate directions into one image that shows the maximum linear features in these conjugate directions, but also further manipulating the outcomes using a number of predefined MCDF operations for different purposes. Digital terrain model (DTM) has brought new dimensions to the use of geographic data. Since MCDF operations are based on directional filtering, naturally these operations should reveal the local changes in elevation when they are applied to DTM data. MCDF operations can also keep both textual and enhanced structural information in the same image, and have ability to produce pseudo 3D views, so theoretically this new method should be applicable to and useful in DTM data processing. In this paper, we discuss the results of using other existing methods to DTM processing. The results of applying MCDF(add1) and MCDF(add3) to the same DTM data are then presented for making comparisons with the results from other means.
引用
收藏
页码:471 / 478
页数:8
相关论文
共 50 条
  • [31] Establishment of digital terrain model based on constraints
    Wang, Chong-Chang
    Zhang, Di
    Yang, Yan-Yan
    Liaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban)/Journal of Liaoning Technical University (Natural Science Edition), 2006, 25 (06): : 823 - 826
  • [32] DeltaDTM: A global coastal digital terrain model
    Maarten Pronk
    Aljosja Hooijer
    Dirk Eilander
    Arjen Haag
    Tjalling de Jong
    Michalis Vousdoukas
    Ronald Vernimmen
    Hugo Ledoux
    Marieke Eleveld
    Scientific Data, 11
  • [33] GENERATION OF DIGITAL TERRAIN MODEL FOR A FLOOD AREA
    David, V.
    JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY, 2012, 13 (2A): : 1124 - 1130
  • [34] AN APPLICATION OF DIGITAL TERRAIN MODEL TO CROPLAND AREA MEASUREMENT AND SPATIAL DISTRIBUTION DESCRIPTION IN HILLY REGION
    Ke Zhenyi Wei Kewu Qin Kensing ( Depart. of Soil Sci. Agri. Chemistry
    Zhejiang Agri. Univer. )
    浙江农业大学学报, 1986, (02) : 122 - 132
  • [35] Issues in the application of Digital Surface Model data to correct the terrain illumination effects in Landsat images
    Li, Fuqin
    Jupp, David L. B.
    Thankappan, Medhavy
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2015, 8 (03) : 235 - 257
  • [36] Gravity measurements and terrain corrections using a digital terrain model in the NW Himalaya
    Banerjee, P
    COMPUTERS & GEOSCIENCES, 1998, 24 (10) : 1009 - +
  • [37] An Overview of Popular Digital Image Processing Filtering Operations
    Coady, James
    O'Riordan, Andrew
    Dooly, Gerard
    Newe, Thomas
    Toal, Daniel
    2019 13TH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST), 2019,
  • [38] PERSPECTIVE TERRAIN PRESENTATIONS FOR PLANNING USING DIGITAL IMAGE-PROCESSING
    KUHN, H
    PHOTOGRAMMETRIA, 1985, 40 (02): : 137 - 153
  • [39] QUALITY OF A DIGITAL TERRAIN MODEL FOR SANTA CATARINA STATE
    Ten Caten, Alexandre
    Dalmolin, Ricardo S. D.
    Boeing, Evandro L.
    Vitalis, Fernando A.
    Da Silva, Walquiria C.
    ENGENHARIA AGRICOLA, 2016, 36 (06): : 1261 - 1271
  • [40] Roof Segmentation on the High Resolution Digital Terrain Model
    Starodubtsev, Illya
    Michailov, Igor
    2019 URAL SYMPOSIUM ON BIOMEDICAL ENGINEERING, RADIOELECTRONICS AND INFORMATION TECHNOLOGY (USBEREIT), 2019, : 208 - 212