DEM Generation with Contour Line Using Morphology Theory

• Main Authors: Wen-Liann Chiuen, 闕文鏈
• Other Authors: Tian-Yuan Shih
• Format: Others
• Language: zh-TW
• Published: 2001
• Online Access: http://ndltd.ncl.edu.tw/handle/36568192373002778688

碩士 === 國立交通大學 === 土木工程系 === 89 === It is more and more important to generate DEM data quickly and accurately, because application of using DEM is more and more popular. The subject of this research is to generate DEM data by reiteration of dilating contour line using morphological theory. In this research, apply three difference ways to obtain DEM, these ways are using interpolation scatter points (IDW) , constrained Delaunay triangulation (TIN) and dilation contour line. Comparing the results with the 40X40 meter grid-DEM data of Council of Agriculture, and using five numerical indices. These indices are maximum error, ninetieth-five percentile error, root mean squares error, mean absolute error, and mean error. Getting a conclusion from macroscopic scale and microscopic scale, three theory all have it’s shortcomings, but using morphological theory obtain DEM data is fast and don’t have very much memory to run the program. So dilation contour line is one good way to obtain DEM data.