Paper
12 April 2023 A novel method of heterologous image registration based on SURF and feature inertial following
Shize Shang, Zhan Ou, Yang Zhou, Yuhao Yang, Pin Li
Author Affiliations +
Proceedings Volume 12565, Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022); 125650L (2023) https://doi.org/10.1117/12.2661631
Event: Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022), 2022, Shanghai, China
Abstract
In this paper, a novel method of heterologous image registration method based on feature inertial following is proposed, which can perform high-precision and rapid registration of SAR image and optical image. The first image pair in the sequence is registered based on improved SURF feature to achieve high-precision registration. Based on this registration result, the other image pairs in the sequence are registered by the method of feature inertia following to achieve rapid registration. The proposed method makes full use of the correlation and gradient properties between image sequence frames. It maintains the registration accuracy of the preceding images, improves the registration speed greatly.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shize Shang, Zhan Ou, Yang Zhou, Yuhao Yang, and Pin Li "A novel method of heterologous image registration based on SURF and feature inertial following", Proc. SPIE 12565, Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022), 125650L (12 April 2023); https://doi.org/10.1117/12.2661631
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KEYWORDS
Image registration

Synthetic aperture radar

Feature extraction

Image sensors

Information operations

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