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Journal of Applied Remote Sensing

Three-dimensional terrain model multiview quality assessment considering human visual system
Author(s): Fan Zhang; Xiaoyang Li; Huan Liu; Wei Li; Wei Hu; Hengchao Li
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Paper Abstract

In the current remote sensing big data era, the huge amount of data, especially the expansion of spatial dimension, brings challenges to the traditional processing and applications in data transferring, processing and visualization. Model quality assessment is usually employed to evaluate the yielding model and select the optimal simplification method, which is used to improve the efficiency of big data processing. The existing three-dimensional (3-D) terrain model assessment methods mainly exploit the data accuracy or geometric features while ignoring the impact of humans or users. We mainly investigate the quality assessment for the 3-D terrain model. The proposed method provides an integration of structural similarity and the human visual system from the multiview angles for the image quality assessment. The visual impact of observers and the structural information retention of the 3-D terrain model have been fully considered. In the experiments, two kinds of models with different simplification ratios are utilized for the terrain model evaluation. The results confirm that the proposed algorithm has a better performance of terrain model quality assessment than other traditional methods.

Paper Details

Date Published: 14 July 2015
PDF: 15 pages
J. Appl. Rem. Sens. 9(1) 097290 doi: 10.1117/1.JRS.9.097290
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
Fan Zhang, Beijing Univ. of Chemical Technology (China)
Xiaoyang Li, Beijing Univ. of Chemical Technology (China)
Huan Liu, Beijing Univ. of Chemical Technology (China)
Wei Li, Beijing Univ. of Chemical Technology (China)
Wei Hu, Beijing Univ. of Chemical Technology (China)
Hengchao Li, Southwest Jiaotong Univ. (China)

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