14 July 2015 Three-dimensional terrain model multiview quality assessment considering human visual system
Fan Zhang, Xiaoyang Li, Huan Liu, Wei Li, Wei Hu, Hengchao Li
Author Affiliations +
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.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2015/$25.00 © 2015 SPIE
Fan Zhang, Xiaoyang Li, Huan Liu, Wei Li, Wei Hu, and Hengchao Li "Three-dimensional terrain model multiview quality assessment considering human visual system," Journal of Applied Remote Sensing 9(1), 097290 (14 July 2015). https://doi.org/10.1117/1.JRS.9.097290
Published: 14 July 2015
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KEYWORDS
3D modeling

Data modeling

Visualization

Visual process modeling

3D image processing

Image quality

Performance modeling

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