Algorithmic Foundation of Multi-Scale Spatial Representation - download pdf or read online

By Zhilin Li

ISBN-10: 0849390729

ISBN-13: 9780849390722

With the common use of GIS, multi-scale illustration has turn into an enormous factor within the realm of spatial info dealing with. targeting geometric changes, this source offers finished assurance of the low-level algorithms on hand for the multi-scale representations of other forms of spatial good points, together with aspect clusters, person traces, a category of traces, person parts, and a category of components. It additionally discusses algorithms for multi-scale illustration of 3D surfaces and 3-D beneficial properties. Containing over 250 illustrations to complement the dialogue, the e-book offers the latest examine effects, corresponding to raster-based paintings, set of rules advancements, snakes, wavelets, and empirical mode decomposition.

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Extra resources for Algorithmic Foundation of Multi-Scale Spatial Representation (2006)(en)(280s)

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5a is a curved line formed by a set of points. Such a line is sometimes called a polyline. 5b shows the decomposition of the polyline line into two monotonic functions. In any algorithm for geometric transformations, some kinds of geometric parameters must be used as criteria. 5 Representation of a line in parametric form. 2 Some Commonly Used Geometric Parameters Geometric parameter Mathematical function 1 Distance between two points d ( P1 , P2 ) = ( x1 − x 2 )2 + ( y1 − y2 )2 2 Distance from point P to line Ln d ( P, Ln) = 3 Distance from point P to plane Pl d ( P, Pl ) = 4 Slope between two points tan α = 5 Curvature of a curved line c( x , y) = 6 Angle (ω) formed by two sides (a and b) of a triangle conω = a2 + b2 − c2 2ab 7 Area formed by N points A( P1 , P2 PN ) = ax1 + by1 + c a2 + b2 ax1 + by1 + cz + d a2 + b2 + c2 y2 − y1 x 2 − x1 d 2 y/dx 2 [1 + (dy/dx )2 ]3/ 2 ( 1 N ∑ y × xi +1 − xi × yi +1 2 i =1 i ) not exceptions.

2005). However, in visual multiscale representation the features on the same representation may have different scales. In other words, the scale of the representation may vary from place to place on the same representation. , 2003). 7. However, some terms may have slightly different meanings. For example, exaggeration has been used to refer to enlarging the size of the doors of a building instead of the building itself (Bai and Chen, 2001). Such exaggeration will be defined as partial exaggeration in this context.

And Li, Z. , Voronoi-based K-order neighbour relations for spatial analysis, ISPRS Journal of Photogrammetry and Remote Sensing, 59(1-2), 60–72, 2004. Christensen, A. , Line generalization by waterline and medial-axis transformation: success and issues in an implementation of Perkel’s proposal, The Cartographic Journal, 26(1), 19–32, 2000. , A pyramidal data structure for triangle-based surface description, IEEE Computer Graphics and Applications, 9(2), 67–78, 1989. , Chen, X. , and Li, Z. , A generalized Hausdorff distance for spatial objects in GIS, in International Archives of Photogrammetry and Remote Sensing, Vol.

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Algorithmic Foundation of Multi-Scale Spatial Representation (2006)(en)(280s) by Zhilin Li

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