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
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