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23 January 2024 An optical and SAR image registration method based on bidirectional style transfer and hybrid feature descriptor
Boce Chu, Jie Chen, Hongcheng Zeng, Jinyong Chen, Jin Zhu, Meirui Wang, Xiaoqian Gao
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Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129781V (2024) https://doi.org/10.1117/12.3019591
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China
Abstract
With the continuous development of modern science and technology, aerospace, aviation, and image sensor technologies are being constantly improved, and various new sensors and remote sensing platforms are emerging. Currently, the ability to obtain remote sensing data is improving continuously, and remote sensing data products are characterized by multiple spatial resolutions and multiple loads. Applications based on multi-source data fusion will replace single-source data applications in the future. The prerequisite for fusing data from different sources is that the spatial references for these data must be consistent. Therefore, it is imperative to conduct research on the methods for high-precision automatic registration of images from different sources in order to solve the problem of difficult registration of such images caused by different imaging mechanisms and effects. Taking the registration of optical and SAR images from different sources as an example, this paper presents a method of registering optical and SAR images based on bidirectional style transfer and hybrid feature descriptor. Firstly, a bidirectional style transfer network is used to convert the original optical and SAR images to pseudooptical and SAR images, thus achieving the homogenization of images from different sources. Subsequently, feature sets and hybrid feature descriptors are extracted from optical and SAR images, and the relationship between images from different sources in terms of feature matching is established to achieve high-precision automatic registration of optical and SAR images. The experimental results show that the method proposed in this paper is superior to traditional image registration methods in terms of both subjective perception and objective indicators such as RMSE and has achieved better registration results.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Boce Chu, Jie Chen, Hongcheng Zeng, Jinyong Chen, Jin Zhu, Meirui Wang, and Xiaoqian Gao "An optical and SAR image registration method based on bidirectional style transfer and hybrid feature descriptor", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129781V (23 January 2024); https://doi.org/10.1117/12.3019591
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KEYWORDS
Synthetic aperture radar
Feature extraction
Image registration
Image processing
Image restoration
Image fusion
Remote sensing
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