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The Study Of Interpolation Technology Based On Satellite Data From Chang’e1in Digital Elevation Model(DEM) Of Lunar Surface

Posted on:2015-02-23Degree:MasterType:Thesis
Country:ChinaCandidate:Y H ZhangFull Text:PDF
GTID:2180330467455303Subject:Computer technology
Abstract/Summary:PDF Full Text Request
From the beginning of the1950s, humans have done a lot of lunar exploration activities.In order to further meet people’s understanding of the moon, the lunar mapping has becomeone of the most important contents of lunar exploration project and scientific research. Thispaper is to generate digital elevation model (DEM) by interpolation based on the onboardlaser altimeter data of "Chang E One", which is the first lunar satellite probe launched byChina. By studying the feature of laser altimeter data and new method of interpolation, theresulting DEM can reflect the information of the lunar surface more accurately andobjectively. The main research contents of this paper include:1. Combining the feature of laser altimeter data with the development status of DEMinterpolation method, the interpolation principle of interpolation method is introduced, and asolution of DEM interpolation method is proposed, based on the "Chang’1" satellite data.2. According to the present development of DEM interpolation, the classification ofinterpolation method is introduced in detail, and an interpolation algorithm is presented,combining the moving quadric surface fitting interpolation with the weighted average methodinterpolation. Experiments show that visualization effect and error of the DEM generated byinterpolation using the proposed algorithm are superior to history algorithms, whichdemonstrates the effectiveness of the algorithm.3. In this paper, the relationship between numerical error of DEM model and terrain, theused interpolation method and the quality of raw data is studied. Considering the impact ofdifferent grid resolutions and terrain factors on DEM errors, by establishing correspondencebetween data error and topographical description error, the best grid resolution is selected, anda more rigorous error analysis model of DEM is established.
Keywords/Search Tags:Digital elevation model, Mobile curve fitting method, Weighted averagemethod, Grid resolution, Error analysis model
PDF Full Text Request
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