Remote visualization for large terrain surfaces based on parallel streaming pipeline architecture

2007 ◽  
Author(s):  
Chun Hu ◽  
Jinwen Tian ◽  
Delie Ming ◽  
Dajiang Shen
Keyword(s):  
Pipeline Architecture ◽  
Remote Visualization

DISTRIBUTED ADAPTIVE MULTIVARIATE FUNCTION VISUALIZATION

2006 ◽  
Vol 06 (02) ◽  
pp. 273-288 ◽  
Author(s):  
SHUJUN LI ◽  
KARLIS KAUGARS ◽  
ELISE DE DONCKER
Keyword(s):  
Numerical Integration ◽  
Time Series Data ◽  
Grid Cell ◽  
Adaptive Method ◽  
Series Data ◽  
Function Evaluation ◽  
Uniform Grid ◽  
Visualization Method ◽  
Remote Visualization ◽  
Integration Rule

In this article, we introduce a new function visualization method and demonstrate that numerical integration and visualization of multi-dimensional functions are closely related. Adaptive numerical integration is utilized to reduce the number of function evaluations, and generate time series data. The integration region is partitioned into a uniform grid. A grid cell can be sampled many times, or is not sampled at all, depending on the function properties and the integration rule. Function properties are extracted during the process of function evaluation. An aging technique helps visualize functions by retaining the most recently sampled areas and making the older ones transparent. This also results in giving the non-smooth areas more attention than the smooth areas. The new function visualization method gives a view of the whole function while elaborating on important areas such as ridges and troughs, which are critical in many fields, including numerical integration. A Grid service, called Integration Service, is used to solve computationally intensive integration problems. Remote visualization based on the adaptive method helps monitor the progress of a computation, and can be utilized for computational steering. The data are filtered by the server and transferred to the client, which is responsible for visualization mapping and rendering.

SMART SENSOR: AN ON-BOARD IMAGE PROCESSING SYSTEM FOR REAL-TIME REMOTE SENSING

2002 ◽  
Vol 02 (03) ◽  
pp. 481-499
Author(s):  
JANE YOU ◽  
DAVID ZHANG
Keyword(s):  
Remote Sensing ◽  
Image Analysis ◽  
Image Compression ◽  
Real Time ◽  
Processing System ◽  
Smart Sensor ◽  
Pipeline Architecture ◽  
New Approach ◽  
Hardware Processing ◽  
Sensor System Design

This paper presents a new approach to smart sensor system design for real-time remote sensing. A combination of techniques for image analysis and image compression is investigated. The proposed algorithms include: (1) a fractional discrimination function for image analysis, (2) a comparison of effective algorithms for image compression, (3) a pipeline architecture for parallel image classification and compression on-board satellites, and (4) a task control strategy for mapping image computing models to hardware processing elements. The efficiency and accuracy of the proposed techniques are demonstrated throughout system simulation.

GPU-based remote visualization of dynamic molecular data on the web

2016 ◽  
Vol 88 ◽  
pp. 57-65 ◽  
Author(s):  
Finian Mwalongo ◽  
Michael Krone ◽  
Michael Becher ◽  
Guido Reina ◽  
Thomas Ertl
Keyword(s):  
Molecular Data ◽  
Remote Visualization ◽  
The Web

Pipeline Architecture

2020 ◽  
pp. 327-404
Author(s):  
Pranabananda Chakraborty
Keyword(s):  
Pipeline Architecture
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