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Remote Sens. 2017, 9(6), 576; doi:10.3390/rs9060576

Slope-Restricted Multi-Scale Feature Matching for Geostationary Satellite Remote Sensing Images

1
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200070, China
2
National Satellite Meteorological Center, No. 46, Zhongguancun South Street, Haidian District, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Academic Editors: Guoqing Zhou and Prasad S. Thenkabail
Received: 16 April 2017 / Revised: 23 May 2017 / Accepted: 5 June 2017 / Published: 8 June 2017
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Abstract

For geostationary meteorological satellite (GSMS) remote sensing image registration, high computational cost and matching error are the two main challenging problems. To address these issues, this paper proposes a novel algorithm named slope-restricted multi-scale feature matching. In multi-scale feature matching, images are subsampled to different scales. From a small scale to a large scale, the offsets between the matched pairs are used to narrow the searching area of feature matching for the next larger scale. Thus, the feature matching is accomplished from coarse to fine, which will make the matching process more accurate and reduce errors. To enhance the matching performance, the outliers in the matched pairs are rectified by using slope-restricted rectification, which is based on local geometric similarity. Compared with other algorithms, the experimental results show that our proposed method is more accurate and efficient. View Full-Text
Keywords: remote sensing image registration; geostationary meteorological satellite (GSMS); multi-scale feature matching; slope-restricted rectification remote sensing image registration; geostationary meteorological satellite (GSMS); multi-scale feature matching; slope-restricted rectification
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zeng, D.; Wu, L.; Chen, B.; Shen, W. Slope-Restricted Multi-Scale Feature Matching for Geostationary Satellite Remote Sensing Images. Remote Sens. 2017, 9, 576.

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