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Article

Exploiting High Geopositioning Accuracy of SAR Data to Obtain Accurate Geometric Orientation of Optical Satellite Images

1
Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping (CASM), Beijing 100036, China
2
Department of Built Environment, University of New South Wales (UNSW), Sydney 2052, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: João Catalão Fernandes
Remote Sens. 2021, 13(17), 3535; https://doi.org/10.3390/rs13173535
Received: 4 August 2021 / Revised: 31 August 2021 / Accepted: 3 September 2021 / Published: 6 September 2021
(This article belongs to the Section Earth Observation Data)
Accurate geopositioning of optical satellite imagery is a fundamental step for many photogrammetric applications. Considering the imaging principle and data processing manner, SAR satellites can achieve high geopositioning accuracy. Therefore, SAR data can be a reliable source for providing control information in the orientation of optical satellite images. This paper proposes a practical solution for an accurate orientation of optical satellite images using SAR reference images to take advantage of the merits of SAR data. Firstly, we propose an accurate and robust multimodal image matching method to match the SAR and optical satellite images. This approach includes the development of a new structural-based multimodal applicable feature descriptor that employs angle-weighted oriented gradients (AWOGs) and the utilization of a three-dimensional phase correlation similarity measure. Secondly, we put forward a general optical satellite imagery orientation framework based on multiple SAR reference images, which uses the matches of the SAR and optical satellite images as virtual control points. A large number of experiments not only demonstrate the superiority of the proposed matching method compared to the state-of-the-art methods but also prove the effectiveness of the proposed orientation framework. In particular, the matching performance is improved by about 17% compared with the latest multimodal image matching method, namely, CFOG, and the geopositioning accuracy of optical satellite images is improved, from more than 200 to around 8 m. View Full-Text
Keywords: optical satellite images; SAR images; multimodal image matching; image orientation; geopositioning accuracy improvement optical satellite images; SAR images; multimodal image matching; image orientation; geopositioning accuracy improvement
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MDPI and ACS Style

Fan, Z.; Zhang, L.; Liu, Y.; Wang, Q.; Zlatanova, S. Exploiting High Geopositioning Accuracy of SAR Data to Obtain Accurate Geometric Orientation of Optical Satellite Images. Remote Sens. 2021, 13, 3535. https://doi.org/10.3390/rs13173535

AMA Style

Fan Z, Zhang L, Liu Y, Wang Q, Zlatanova S. Exploiting High Geopositioning Accuracy of SAR Data to Obtain Accurate Geometric Orientation of Optical Satellite Images. Remote Sensing. 2021; 13(17):3535. https://doi.org/10.3390/rs13173535

Chicago/Turabian Style

Fan, Zhongli, Li Zhang, Yuxuan Liu, Qingdong Wang, and Sisi Zlatanova. 2021. "Exploiting High Geopositioning Accuracy of SAR Data to Obtain Accurate Geometric Orientation of Optical Satellite Images" Remote Sensing 13, no. 17: 3535. https://doi.org/10.3390/rs13173535

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