Special Section on Management and Analytics of Remotely Sensed Big Data

Three-dimensional terrain model multiview quality assessment considering human visual system

[+] Author Affiliations
Fan Zhang, Xiaoyang Li, Huan Liu, Wei Li, Wei Hu

Beijing University of Chemical Technology, College of Information Science and Technology, Beijing 100029, China

Hengchao Li

Southwest Jiaotong University, Sichuan Provincial Key Laboratory of Information Coding and Transmission, Chengdu 610031, China

J. Appl. Remote Sens. 9(1), 097290 (Jul 14, 2015). doi:10.1117/1.JRS.9.097290
History: Received October 27, 2014; Accepted June 9, 2015
Text Size: A A A

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.

Figures in this Article
© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Fan Zhang ; Xiaoyang Li ; Huan Liu ; Wei Li ; Wei Hu, et al.
"Three-dimensional terrain model multiview quality assessment considering human visual system", J. Appl. Remote Sens. 9(1), 097290 (Jul 14, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.097290


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.