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

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...

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Bibliographic Details
Published in:2011 International Conference on Virtual Reality and Visualization pp. 251 - 254
Main Authors: Hu Huaquan, Yang Chao, Wu Lingda
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2011
Subjects:
Algorithm design and analysis
bucket sort
depth peeling
Face
GPU
Image color analysis
Isosurfaces
multi-fragment
multiple render target (MRT)
Nonhomogeneous media
Radar
Rendering (computer graphics)
ISBN:1457721562, 9781457721564
Online Access:Get full text
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Summary: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.
ISBN:1457721562
9781457721564
DOI:10.1109/ICVRV.2011.23