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
Link To Document :
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