Image and Signal Processing Methods

Point-matching method for remote sensing images with background variation

[+] Author Affiliations
Xiaolong Shi, Jie Jiang

Beihang University, School of Instrumentation Science and Optoelectronics Engineering, No. 37 Xueyuan Road, Beijing 100191, China

J. Appl. Remote Sens. 9(1), 095046 (Nov 05, 2015). doi:10.1117/1.JRS.9.095046
History: Received May 8, 2015; Accepted October 7, 2015
Text Size: A A A

Abstract.  Finding correct feature correspondence proves to be difficult in the process of image registration, especially for remote sensing images with background variation (e.g., images taken before and after an earthquake or flood) due to significant intensity differences in the same area. A robust and accurate point-matching method, called triangle transformation matching (TTM), is presented to increase the correct matching ratio and remove outliers. First, scale-invariant feature transform (SIFT) is used to extract the point features, and two preliminary point-matching sets can be obtained. Then, the spatial structure information around one point is compared to its corresponding point in the preliminary matching sets to verify whether they are inliers or not. This structure information is based on triangle area representation and it is affine invariant. A spatial consistency measure is used to remove outliers whose coordinates are very similar. Experiments compared with RANSAC, GTM, Bi-SOGC, and HTSC demonstrate the effectiveness of TTM under the conditions of background variation for remote sensing images.

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

Citation

Xiaolong Shi and Jie Jiang
"Point-matching method for remote sensing images with background variation", J. Appl. Remote Sens. 9(1), 095046 (Nov 05, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.095046


Tables

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.