TCR:A Novel Target Consistency Registration Algorithm for GM-APD Range Image and Infrared Image

Image registration algorithm is necessary for the fusion, but most existing image registration methods fail to register the GM-APD and infrared images. It limits the development of the fusion between the infrared and GM-APD images. To solve this problem, we propose a Target consistency registration algorithm (TCR), which is a novel registration method focusing on the infrared image and GM-APD image. The proposed algorithm can register the image pairs effectively, and the registration accuracy of far-distance registration is controlled within one pixel, which improves the registration accuracy nearly 30 times compared with the most advanced registration algorithm. It provides strong support for the extended application of GM-APD and infrared multimode detection.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/aisomt64170.2024.10992009
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
0.00

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article

TCR:A Novel Target Consistency Registration Algorithm for GM-APD Range Image and Infrared Image

Sining Li, Mingqi Wang, Jianfeng Sun, Xin Zhou
Infrared Target Detection Methodologies
article

TCR:A Novel Target Consistency Registration Algorithm for GM-APD Range Image and Infrared Image

Sining Li, Mingqi Wang, Jianfeng Sun, Xin Zhou
article en

Abstract

Image registration algorithm is necessary for the fusion, but most existing image registration methods fail to register the GM-APD and infrared images. It limits the development of the fusion between the infrared and GM-APD images. To solve this problem, we propose a Target consistency registration algorithm (TCR), which is a novel registration method focusing on the infrared image and GM-APD image. The proposed algorithm can register the image pairs effectively, and the registration accuracy of far-distance registration is controlled within one pixel, which improves the registration accuracy nearly 30 times compared with the most advanced registration algorithm. It provides strong support for the extended application of GM-APD and infrared multimode detection.

Harbin Institute of Technology (CN)
China Aerospace Science and Technology Corporation
Openalex Percentile: Top 51%
Infrared Target Detection Methodologies
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