Assessing interpolation accuracy in elevation models

作者: J.D. Wood , P.F. Fisher

DOI: 10.1109/38.204967

关键词:

摘要: Methods that identify the spatial variation in elevation model accuracy and highlight relative are proposed. Visualization within geographic resources analysis support system (GRASS) is used to preserved interpolation digital contour data produce models. The routines inverse distance weighting, flood filling, simultaneous over-relaxation, one-dimensional spline fitting. results of process presented as colored contours, shaded relief maps, aspect products Laplacian filtering, profile plan convexity, visualizing root mean square error methods. >

参考文章(13)
D. R. Butler, Stephen J Walsh, D. R. Lightfoot, Recognition and assessment of error in geographic information systems Photogrammetric Engineering and Remote Sensing. ,vol. 53, pp. 1423- 1430 ,(1987)
Nicholas R. Chrisman, Modeling error in overlaid categorical maps CRC Press. pp. 26- 35 ,(1989) , 10.1201/B12612-12
Barbara P. Buttenfield, Sarah B. Clapham, M. Kate Beard, Initiative Leader, NCGIA Research Initiative 7 Visualization of Spatial Data Quality ,(1991)
Hideyuki Tamura, Shunji Mori, Takashi Yamawaki, Textural Features Corresponding to Visual Perception IEEE Transactions on Systems, Man, and Cybernetics. ,vol. 8, pp. 460- 473 ,(1978) , 10.1109/TSMC.1978.4309999
ANDREW K. SKIDMORE, Terrain position as mapped from a gridded digital elevation model International Journal of Geographic Information Systems. ,vol. 4, pp. 33- 49 ,(1990) , 10.1080/02693799008941527
Pinhas Yoeli, Computer Executed Production of a Regular Grid of Height Points from Digital Contours The American Cartographer. ,vol. 13, pp. 219- 229 ,(1986) , 10.1559/152304086783899971
ANDREW K. SKIDMORE, A comparison of techniques for calculating gradient and aspect from a gridded digital elevation model International Journal of Geographic Information Systems. ,vol. 3, pp. 323- 334 ,(1989) , 10.1080/02693798908941519
Robert M. Haralick, K. Shanmugam, Its'Hak Dinstein, Textural Features for Image Classification IEEE Transactions on Systems, Man, and Cybernetics. ,vol. SMC-3, pp. 610- 621 ,(1973) , 10.1109/TSMC.1973.4309314