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An Optimal Threshold Registration Algorithm of UAV Color Images Based on SURF

Authors:

Yang Yao,

Zhang Kai,

Wang Xiao-tianAuthors Info & Claims

ICVISP 2018: Proceedings of the 2nd International Conference on Vision, Image and Signal Processing

Article No.: 6, Pages 1 - 6

https://doi.org/10.1145/3271553.3271567

Published: 27 August 2018 Publication History

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Abstract

Robustness and accuracy are the two main challenging tasks in feature-based UAV (Unmanned Aerial Vehicle) color remote sensing image registration. In this paper, an optimal threshold registration algorithm is proposed. Firstly, a modified descriptor is constructed adding in color information to increase the descriptor's distinctiveness and robustness. Based on the primeval descriptor calculated by SURF, color information is got with color space transformation and is superimposed on the primeval descriptor. Secondly, an optimal threshold method is put forward to increase the accuracy rate. Finally, a novel purification strategy is used to make the result more accurate. A set of measures has been used to evaluate the registration result. Extensive experimental evaluations show that the optimal threshold registration algorithm is robust and accurate.

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Cited By

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Yang HGuo YJiang ZWang XWang ZLiu M(2021)Study on Typical Objects Three-Dimensional Modeling and Classification Technology Based on UAV Image Sequence2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD49262.2021.9437613(837-842)Online publication date: 5-May-2021
https://doi.org/10.1109/CSCWD49262.2021.9437613

Index Terms

An Optimal Threshold Registration Algorithm of UAV Color Images Based on SURF
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Matching

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ICVISP 2018: Proceedings of the 2nd International Conference on Vision, Image and Signal Processing

August 2018

402 pages

ISBN:9781450365291

DOI:10.1145/3271553

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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Association for Computing Machinery

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Published: 27 August 2018

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Shanghai Aerospace Science and Technology Innovation Fund

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ICVISP 2018

ICVISP 2018: The 2nd International Conference on Vision, Image and Signal Processing

August 27 - 29, 2018

NV, Las Vegas, USA

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Yang HGuo YJiang ZWang XWang ZLiu M(2021)Study on Typical Objects Three-Dimensional Modeling and Classification Technology Based on UAV Image Sequence2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD49262.2021.9437613(837-842)Online publication date: 5-May-2021
https://doi.org/10.1109/CSCWD49262.2021.9437613

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LBP-SURF descriptor with color invariant and texture based features for underwater images

Rapid multimodality registration based on MM-SURF

A new SURF-based algorithm for robust registration of multimodal images data

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