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Multimodal Optical Image Registration Using Modified SIFT

  • Sourabh Paul
  • Ujwal Kumar Durgam
  • Umesh C. Pati
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 518)

Abstract

Although a variety of feature-based remote sensing optical image registration algorithms has been proposed in past decades, most of the algorithms suffer from the availability of a sufficient number of matched features between the input image pairs. In this paper, a modified version of scale-invariant feature transform (SIFT) is proposed to increase the number of matched features between images. Initial matching between the input images is performed by modified SIFT algorithm with cross-matching technique. Then, matched features are refined by using random sample consensus (RANSAC) algorithm.

Keywords

Image registration Scale-invariant feature transform Random sample consensus 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Sourabh Paul
    • 1
  • Ujwal Kumar Durgam
    • 1
  • Umesh C. Pati
    • 1
  1. 1.Department of Electronics and CommunicationNational Institute of TechnologyRourkelaIndia

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