Extraction of Hierarchical Surface Networks from Bilinear Surface Patches
Surface networks capture the topological relations between passes of a continuous surface, the paths of steepest descent and ascent starting at the passes, and the pits and peaks where the steepest paths end. Surface networks represent the topology of surfaces in a compressed form and allow fast inv...
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Published in | Geographical analysis Vol. 37; no. 2; pp. 244 - 263 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing
01.04.2005
Ohio State University Press John Wiley & Sons, Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0016-7363 1538-4632 |
DOI | 10.1111/j.1538-4632.2005.00638.x |
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Abstract | Surface networks capture the topological relations between passes of a continuous surface, the paths of steepest descent and ascent starting at the passes, and the pits and peaks where the steepest paths end. Surface networks represent the topology of surfaces in a compressed form and allow fast investigation of the surfaces' convex and concave shapes. They are applied, for instance, for enhancing algorithms for surface analysis, for surface model simplification, and for surfaces visualization. Furthermore, they are themselves subjects of analysis as they are closely coupled to the intrinsic geometrical concepts and rules of continuous surfaces.
This article extends the topology of surface networks in four ways: (i) objects at the edge of the surface model are introduced; (ii) intersections between valley and ridge lines are found to be possible, and such intersections are incorporated into the topology; (iii) horizontal areas may represent passes, pits, or peaks, and therefore must be detected and explicitly incorporated; and (iv) valley and ridge line hierarchies are recognized as inherent components of the surface network. They are extracted and explicitly represented.
To ensure consistency and completeness of the surface network, a zero‐order continuous surface is specified from the raster data prior to the extraction. This article presents a method to represent and derive valley and ridge line hierarchies. The results are illustrated with two examples. The extracted networks are found to be consistent and complete. However, the extraction method tends to produce spurious pits, peaks, and passes, which form a drawback if the surface data are affected by noise. |
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AbstractList | Surface networks capture the topological relations between passes of a continuous surface, the paths of steepest descent and ascent starting at the passes, and the pits and peaks where the steepest paths end. Surface networks represent the topology of surfaces in a compressed form and allow fast investigation of the surfaces' convex and concave shapes. They are applied, for instance, for enhancing algorithms for surface analysis, for surface model simplification, and for surfaces visualization. Furthermore, they are themselves subjects of analysis as they are closely coupled to the intrinsic geometrical concepts and rules of continuous surfaces.
This article extends the topology of surface networks in four ways: (i) objects at the edge of the surface model are introduced; (ii) intersections between valley and ridge lines are found to be possible, and such intersections are incorporated into the topology; (iii) horizontal areas may represent passes, pits, or peaks, and therefore must be detected and explicitly incorporated; and (iv) valley and ridge line hierarchies are recognized as inherent components of the surface network. They are extracted and explicitly represented.
To ensure consistency and completeness of the surface network, a zero‐order continuous surface is specified from the raster data prior to the extraction. This article presents a method to represent and derive valley and ridge line hierarchies. The results are illustrated with two examples. The extracted networks are found to be consistent and complete. However, the extraction method tends to produce spurious pits, peaks, and passes, which form a drawback if the surface data are affected by noise. |
Audience | Academic |
Author | Schneider, Bernhard |
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Cites_doi | 10.1080/13658810210129139 10.1002/0470020288 10.1016/0146-664X(75)90005-2 10.1080/14786447008640422 10.1111/j.1435-5597.1966.tb01341.x 10.1002/0470020288.ch9 10.1201/9781439864111 10.1002/0470020288.ch10 10.1002/esp.3290190807 10.1111/j.1467-8306.1988.tb00206.x 10.1007/3-540-55966-3_14 10.1145/965103.807444 10.1002/0470020288.ch12 10.1002/0470020288.ch11 10.1559/152304001782152991 10.1111/1467-8659.1430181 10.1111/j.1538-4632.1976.tb00530.x 10.1002/0470020288.ch8 |
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References | 2002; 16 1979; 13 1966; 17 1990 2000 1994; 19 1984; 2 1995; 14 1998 1870; 40 1988; 78 2004 1992 2001; 28 2003 1991 1976; 8 1975; 4 Okabe A. (e_1_2_9_8_1) 2004 Schneider B. (e_1_2_9_18_1) 2004 e_1_2_9_11_1 e_1_2_9_10_1 e_1_2_9_13_1 e_1_2_9_12_1 Schneider B. (e_1_2_9_17_1) 2003 Wolf G. W. (e_1_2_9_26_1) 1990 e_1_2_9_15_1 Wolf G. W. (e_1_2_9_25_1) 1984; 2 Wolf G. W. (e_1_2_9_27_1) 1991 e_1_2_9_14_1 e_1_2_9_16_1 e_1_2_9_19_1 e_1_2_9_20_1 e_1_2_9_22_1 e_1_2_9_21_1 e_1_2_9_24_1 e_1_2_9_23_1 Wood J. D. (e_1_2_9_28_1) 1998 e_1_2_9_7_1 e_1_2_9_6_1 e_1_2_9_5_1 e_1_2_9_4_1 e_1_2_9_3_1 Wood J. D. (e_1_2_9_29_1) 2000 e_1_2_9_2_1 e_1_2_9_9_1 |
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SubjectTerms | Algorithms Bgi / Prodig Digital mapping General methodology Geography Mathematical methods Mathematical techniques and physical analogs Methodology Modelling Spatial models Topology |
Title | Extraction of Hierarchical Surface Networks from Bilinear Surface Patches |
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