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Research On Parallel Computing Technology In Loudi Region Analysis Of Soil And Water Loss In The Processing Of Application

Posted on:2014-04-18Degree:MasterType:Thesis
Country:ChinaCandidate:X L WangFull Text:PDF
GTID:2268330425460843Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Soil and water loss is a kind of sudden natural disasters, according to theChina promulgated national second remote sensing survey authority figures,China’s water loss and soil erosion area is3.56million km~2, accounting for37%of the total land area in China, including: water erosion area of1.65million km~2,wind erosion area1.91million km~2. On China’s national production and people’slife caused great hidden trouble and threats. Because of water loss and soilerosion has: sudden, uncertainty and disastrous etc., make accurate water lossand soil erosion warning become an international scientific problem. Therefore,how to do accurate before disaster prevention and disaster relief work after theopen, it is current reduce water loss and soil erosion disaster loss is the mosteffective method.Remote sensing detection technology is in the1960s developed a kind ofnon-contact, remote detection technology. Generally refers to the use of remotesensor/sensor to the object of the electromagnetic wave radiation, reflecting thecharacteristics of detection, and according to the features of the object properties,characteristics and state the analysis of the theory, method and application ofscience and technology. With the traditional artificial detection means,compared to remote sensing detection technology has: observation range, fromtime to space limitation, comprehensive, macroscopic characteristics. For macroresearch various geographical phenomena and their mutual relationship providesa strong conditions; Remote sensing data have: large amount of information,access method, allows researchers to earth observation has the all-weather,all-round ability; Get information fast, update cycle is short, with dynamicdetection etc. Based on the above purpose, this research mainly work and contentare as follows:This paper first introduces the remote sensing detection technology wasapplied to the research status of disaster information extraction, and the parallelcomputing of the related concepts, development and current mainstream parallelcomputing programming environment, mode of a simple overview of. On thisbasis, analysis of the parallel computing technology in remote sensing imageprocessing, this paper introduces the present situation of the application basedon the MPI Berkerley NOW and OpenMP hybrid programming model of the building process to remote sensing image detection usually use of correlationcoefficient method and the ratio method of these two kinds of commonly usedchange detection method for comparison information extraction method, in thisstudy constructed a fleet of system based on master-slave mode to realize theparallel model, and finally the hunan loudi region near the DaShiShan remotesensing image as the sampling area for contrast experiment, and the effect of theparallel computing are discussed.
Keywords/Search Tags:Water and Soil Loss, Remote Sensing, Parallel Computing, Performance Optimization
PDF Full Text Request
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