Image and Signal Processing Methods

Optimal Gabor filter-based edge detection of high spatial resolution remotely sensed images

[+] Author Affiliations
Haohao Zhao

Nanjing University, Department of Geographic Information Science, Nanjing, China

Nanjing University of Information Science and Technology, School of Geography and Remote Sensing, Nanjing, China

Pengfeng Xiao, Xuezhi Feng

Nanjing University, Department of Geographic Information Science, Nanjing, China

J. Appl. Remote Sens. 11(1), 015019 (Mar 09, 2017). doi:10.1117/1.JRS.11.015019
History: Received October 18, 2016; Accepted February 22, 2017
Text Size: A A A

Abstract.  Edge extraction from high spatial resolution (HSR) remotely sensed images is one of the essential tasks for image segmentation and object identification. We present an optimal Gabor-based edge detection method which mainly focuses on selecting optimal parameters, including central frequency and spectrum scale, for Gabor filter. The central frequency is automatically optimized by phase randomization and the human visual system-based structure similarity index. Next, the optimal spectrum scale is determined based on two-dimensional power spectrum density. The edge detection method is comprehensively discussed in the analysis of parameter sensitivity, overall performance, and comparative tests with several widely used methods. Qualitative and quantitative experimental studies, performed on six test images with various spatial resolution, show that the proposed method provides a promising solution to edge detection from HSR remotely sensed images.

Figures in this Article
© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Haohao Zhao ; Pengfeng Xiao and Xuezhi Feng
"Optimal Gabor filter-based edge detection of high spatial resolution remotely sensed images", J. Appl. Remote Sens. 11(1), 015019 (Mar 09, 2017). ; http://dx.doi.org/10.1117/1.JRS.11.015019


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.