Image and Signal Processing Methods

Rotation and scale invariant shape context registration for remote sensing images with background variations

[+] Author Affiliations
Jie Jiang, Shumei Zhang, Shixiang Cao

BeiHang University, Ministry of Education, School of Instrument Science and Opto-electronics Engineering, Key Laboratory for Precision Opto-Mechatronic Technology, Beijing 100191, China

J. Appl. Remote Sens. 9(1), 095092 (Feb 27, 2015). doi:10.1117/1.JRS.9.095092
History: Received June 17, 2014; Accepted February 2, 2015
Text Size: A A A

Abstract.  Multitemporal remote sensing images generally suffer from background variations, which significantly disrupt traditional region feature and descriptor abstracts, especially between pre and postdisasters, making registration by local features unreliable. Because shapes hold relatively stable information, a rotation and scale invariant shape context based on multiscale edge features is proposed. A multiscale morphological operator is adapted to detect edges of shapes, and an equivalent difference of Gaussian scale space is built to detect local scale invariant feature points along the detected edges. Then, a rotation invariant shape context with improved distance discrimination serves as a feature descriptor. For a distance shape context, a self-adaptive threshold (SAT) distance division coordinate system is proposed, which improves the discriminative property of the feature descriptor in mid-long pixel distances from the central point while maintaining it in shorter ones. To achieve rotation invariance, the magnitude of Fourier transform in one-dimension is applied to calculate angle shape context. Finally, the residual error is evaluated after obtaining thin-plate spline transformation between reference and sensed images. Experimental results demonstrate the robustness, efficiency, and accuracy of this automatic algorithm.

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

Citation

Jie Jiang ; Shumei Zhang and Shixiang Cao
"Rotation and scale invariant shape context registration for remote sensing images with background variations", J. Appl. Remote Sens. 9(1), 095092 (Feb 27, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.095092


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

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.