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SAR and Optical Remote Sensing Image Registration Based on an Improved Point Feature

  • Yanfeng ShangEmail author
  • Jie Qin
  • Guo Cao
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1117)

Abstract

This paper proposes a simple and stable point feature-based registration method for synthetic aperture radar (SAR) and optical remote sensing images. First, we extend Harris detector’s response function from linear item to quadratic form and build a new weight function by combining spatial and intensity information of pixels, which enable the location of corners more precisely. Next, we create a structural feature descriptor using both the amplitude and orientation of corners to provide more distinctive local image features. Finally, we set up the correspondence based on the generated point features, and map all pixels in the sensed image to the reference. Experimental results demonstrate that the improved detector can achieve better detection performance compared with conventional Harris corner detector. In addition, registration with SAR and optical images demonstrate the efficiency and accuracy of the proposed approach.

Index Terms

Image registration SAR image Optical remote sensing image Harris corner detector 

Notes

Acknowledgments

This work has been partially supported by the National key Research and Development Program of China (2016YFC0801304, 2017YFC0803705).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.The Third Research Institute of Ministry of Public SecurityShanghaiChina
  2. 2.School of Computer Science and EngineeringNanjing University of Science and TechnologyNanjingChina

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