Image and Signal Processing Methods

Ground-based cloud classification using weighted local binary patterns

[+] Author Affiliations
Shuang Liu, Zhong Zhang

Tianjin Normal University, College of Electronic and Communication Engineering, No. 393 Binshui West Road, Xiqing District, Tianjin 300387, China

Xing Mei

University at Albany, Computer Science Department, 1400 Washington Avenue, SUNY, New York 12222, United States

J. Appl. Remote Sens. 9(1), 095062 (Aug 27, 2015). doi:10.1117/1.JRS.9.095062
History: Received May 14, 2015; Accepted July 31, 2015
Text Size: A A A

Abstract.  Ground-based cloud classification plays an essential role in meteorological research, and, recently, texture classification techniques have been introduced to automate the process. As a typical texture descriptor, local binary patterns (LBP) have emerged as a very powerful tool due to their effective representation ability. However, it neglects the local contrast information of ground-based cloud images, which may hinder the classification performance. We propose a descriptor called weighted local binary patterns (WLBP) for ground-based cloud classification. The proposed WLBP not only inherits the advantages of LBP but also encodes the useful contrast information of local structures. We define the variance of a local patch as a rotation invariant measure and use this measure as an adaptive weight to adjust the contribution of each neighboring pixel in the process of histogram accumulation. The experimental results demonstrate that the proposed WLBP achieves a better performance than the state-of-the-art methods.

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

Topics

Databases

Citation

Shuang Liu ; Zhong Zhang and Xing Mei
"Ground-based cloud classification using weighted local binary patterns", J. Appl. Remote Sens. 9(1), 095062 (Aug 27, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.095062


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.