Paper Info
Title
A Coarse Parallel Image Processing System for Remote Sensing
Abstract
This paper discusses with the feasibility and value of a parallel image computing system for analyzing remotely sensed data on a Personal Computer Local Area Network. The design and configuration of the system are presented. The scheduling methods are also described. Examples of remote sensing analysis procedures that benefit from this type of systcm are illustrated. It is concluded that the parallel image computing system is economical, viable, and well suited to remote sensing, but needs to be optimized for tlie system and to utilize more complex processing approaches to take full advantage of parallcl computing. 1 Introtluction Remotc sensing is of great importance aror~nd the world, especially for the purposes of earth resorlrce and cnvironnient managemcnt. The analysis of remote sensing data is complicated involving many operations that require operator input and that are time consuming. In the past decades there has been an increase in tlie number of data sources available along with better resolution in spectral, spatial and time domains, contribr~ting to the availability of an increasingly larger volume of data. Parallel image computing is expected to provide a nieans to extract this information effectively and to increase tlie speed and complexity of information used in the analysis of remotely sensed data.
Year
Venue
Keywords
1996
MVA
this paper discusses the iniplementation of a pilot system based on a persolla1 computer pc local area network lan.,time domain,local area network,remote sensing
Field
DocType
Citations 
Computer vision,Scheduling (computing),Remote sensing,Personal computer,Remote sensing application,Parallel image processing,Local area network,Artificial intelligence,Mathematics,Computing systems
Conference
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Joji Iisaka192.69