Layered data representation for visual simulation of terrain erosion

被引:0
|
作者
Benes, B [1 ]
Forsbach, R [1 ]
机构
[1] Inst Tecnol & Estudios Super Monterrey, Monterrey, Mexico
关键词
terrain erosion; layers; height field; and voxels;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
New data structure for visual simulation of 3D terrains is introduced. The representation is inspired by real geological measurements and presents good trade-off between commonly used inexpensive, but inaccurate, height fields and memory demanding voxel representation. The representation is based on horizontal stratified layers consisting of one material. The layers are captured in certain positions of the landscape. This representation is then discretized into 2D array. We demonstrate that the classical algorithm simulating thermal erosion [10] can run on this representation and we can even simulate some new properties. The simulation has been done on artificial data as well as on real data from Mars.
引用
收藏
页码:80 / 86
页数:7
相关论文
共 50 条
  • [31] VISUAL ANALYTICS OF MANUFACTURING SIMULATION DATA
    Feldkamp, Niclas
    Bergmann, Soeren
    Strassburger, Steffen
    2015 WINTER SIMULATION CONFERENCE (WSC), 2015, : 779 - 790
  • [32] A NEW METHOD OF TERRAIN REPRESENTATION
    ROBINSON, AH
    THROWER, NJW
    GEOGRAPHICAL REVIEW, 1957, 47 (04) : 507 - 520
  • [33] Graph-Based Wavelet Representation of Multi-Variate Terrain Data
    Cioaca, Teodor
    Dumitrescu, Bogdan
    Stupariu, Mihai-Sorin
    COMPUTER GRAPHICS FORUM, 2016, 35 (01) : 44 - 58
  • [34] Terrain representation using orientation
    Trantham, Gene
    Kennelly, Patrick
    CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE, 2022, 49 (06) : 479 - 491
  • [35] An erosion model based on velocity fields for the visual simulation of mountain scenery
    Chiba, N
    Muraoka, K
    Fujita, K
    JOURNAL OF VISUALIZATION AND COMPUTER ANIMATION, 1998, 9 (04): : 185 - 194
  • [36] Automating IoT Data Ingestion Enabling Visual Representation
    Arman, Ala
    Bellini, Pierfrancesco
    Bologna, Daniele
    Nesi, Paolo
    Pantaleo, Gianni
    Paolucci, Michela
    SENSORS, 2021, 21 (24)
  • [37] Ontological representation of context knowledge for visual data fusion
    Gomez-Romero, Juan
    Patricio, Miguel A.
    Garcia, Jesus
    Molina, Jose M.
    FUSION: 2009 12TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4, 2009, : 2136 - 2143
  • [38] A test to check the efficiency of visual representation of urban data
    Donolo, Rosa Marina
    Favetta, Franck
    Laurini, Robert
    URBAN AND REGIONAL DATA MANAGEMENT, 2013, : 55 - 65
  • [39] Data Mining of Twitter Retweets: A Visual and Practical Representation
    Zhan, Tiffany
    2021 IEEE 11TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2021, : 672 - 676
  • [40] Understanding Sensor Data with Uncertainty using a Visual Representation
    Lee, Jihun
    Jeong, Bong-Keun
    2017 IEEE 7TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE IEEE CCWC-2017, 2017,