• DocumentCode
    2516906
  • Title

    Visualization for Radar Network Detection Ability via Blending Rendering of Multilayer Isosurface

  • Author

    Huaquan, Hu ; Chao, Yang ; Lingda, Wu

  • Author_Institution
    Sci. & Technol. on Inf. Syst. Eng. Lab., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2011
  • fDate
    4-5 Nov. 2011
  • Firstpage
    251
  • Lastpage
    254
  • Abstract
    Radar network detection performance is described by radar network detection probability. This paper presents two visualization methods of multilayer is surface which is extracted from radar network data for different requirements. The first algorithm, Multilayer Pseudo-sort Algorithm, boosts up the borderline using Per-Pixel Shading, improves the performance of rendering but the quality is low. Another algorithm, Improved Depth Peeling, solves the problem of nonuniform depth distributing of multi-fragment using slice map technology and obtains great improvement for large scenes with high complexity. The former can well balance between performance and quality while the latter can capture multiple fragments in a single process.
  • Keywords
    radar detection; rendering (computer graphics); blending rendering; improved depth peeling; multilayer isosurface; multilayer pseudo-sort algorithm; per-pixel shading; radar network detection ability; radar network detection probability; slice map technology; visualization methods; Algorithm design and analysis; Face; Image color analysis; Isosurfaces; Nonhomogeneous media; Radar; Rendering (computer graphics); GPU; bucket sort; depth peeling; multi-fragment; multiple render target (MRT);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Reality and Visualization (ICVRV), 2011 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4577-2156-4
  • Type

    conf

  • DOI
    10.1109/ICVRV.2011.23
  • Filename
    6092722