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Data-driven image registration for coherent change detection of synthetic aperture sonar imagery

Authors:

Blair Bonnett,

Michael HayesAuthors Info & Claims

IVCNZ '14: Proceedings of the 29th International Conference on Image and Vision Computing New Zealand

Pages 196 - 201

https://doi.org/10.1145/2683405.2683455

Published: 19 November 2014 Publication History

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Abstract

Coherent change detection of synthetic aperture sonar images requires more accurate registration than can be provided by recorded navigation data. Instead, data-driven techniques must be used. This paper proposes measuring the position of correlation peaks between corresponding blocks of the images and fitting this data to a model to improve the navigation estimate. This technique is tested on simulated sonar imagery and shown to work well for correcting translation errors.

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Cited By

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Nicolas FArnold-Bos AQuidu IZerr B(2019)Symbolic Simultaneous Registration and Change Detection Between Two Detection Sets In the Mine Warfare ContextOCEANS 2019 - Marseille10.1109/OCEANSE.2019.8867211(1-10)Online publication date: Jun-2019
https://doi.org/10.1109/OCEANSE.2019.8867211
Nicolas FArnold-Bos AQuidu IZerr B(2017)Fast Fourier-Based Block-Matching Algorithm for Sonar Tracks Registration in a Multiresolution FrameworkMarine Robotics and Applications10.1007/978-3-319-70724-2_1(1-14)Online publication date: 30-Dec-2017
https://doi.org/10.1007/978-3-319-70724-2_1

Index Terms

Data-driven image registration for coherent change detection of synthetic aperture sonar imagery
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Video segmentation
      2. Computer vision tasks
        Scene understanding

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Published In

IVCNZ '14: Proceedings of the 29th International Conference on Image and Vision Computing New Zealand

November 2014

298 pages

ISBN:9781450331845

DOI:10.1145/2683405

Co-chairs:
John Perrone,
Michael Mayo,
Anthony Blake,
General Chair:
Michael J. Cree,
Publications Chair:
Lee Streeter

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 19 November 2014

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IVCNZ '14

IVCNZ '14: The 29th International Conference on Image and Vision Computing New Zealand

November 19 - 21, 2014

Hamilton, New Zealand

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IVCNZ '14 Paper Acceptance Rate 55 of 74 submissions, 74%;

Overall Acceptance Rate 55 of 74 submissions, 74%

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Nicolas FArnold-Bos AQuidu IZerr B(2019)Symbolic Simultaneous Registration and Change Detection Between Two Detection Sets In the Mine Warfare ContextOCEANS 2019 - Marseille10.1109/OCEANSE.2019.8867211(1-10)Online publication date: Jun-2019
https://doi.org/10.1109/OCEANSE.2019.8867211
Nicolas FArnold-Bos AQuidu IZerr B(2017)Fast Fourier-Based Block-Matching Algorithm for Sonar Tracks Registration in a Multiresolution FrameworkMarine Robotics and Applications10.1007/978-3-319-70724-2_1(1-14)Online publication date: 30-Dec-2017
https://doi.org/10.1007/978-3-319-70724-2_1

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Image registration of simulated synthetic aperture sonar images using SIFT

Physics-based predictions for coherent change detection using X-band synthetic aperture radar

Improved Chirp Scaling Algorithm for Processing Squinted Mode Synthetic Aperture Sonar Data

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Image registration of simulated synthetic aperture sonar images using SIFT

Physics-based predictions for coherent change detection using X-band synthetic aperture radar

Improved Chirp Scaling Algorithm for Processing Squinted Mode Synthetic Aperture Sonar Data

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