Multiscale Feature Model for Terrain Data Based on Adaptive Spatial Neighborhood

Table 1

Time and amount of data load when screen error is 1 pixel.

Data source	Using physical model directly		Using logic structure FMRH		Schedule time using cluster analysis (s)	Schedule time using space-filling curve (s)
	Loaded triangles	Schedule time (s)	Loaded triangles	Schedule time (s)
GTOPO30	29,491	0.18	22,938	0.15	0.08	0.06
Jilin province	115,343	0.52	89,129	0.48	0.26	0.20
Zhujiang	29,164	0.20	21,955	0.13	0.06	0.03
Tian-chi	120,586	0.56	95,683	0.51	0.24	0.12
Colorado Grand Canyon	125,829	0.55	98,304	0.53	0.23	0.11
Seattle	477,102	2.20	367,002	1.90	0.98	0.70
Yakima	466,616	2.10	356,516	1.87	0.90	0.69
Crater Lake	498,074	2.03	398,459	1.96	0.94	0.70
Puget Sound	121,897	0.70	98,304	0.54	0.29	0.18
Mount Rainier	125,829	0.69	95,683	0.53	0.26	0.15