Paper
14 August 2019 Fast image stitching of unmanned aerial vehicle remote sensing image based on SURF algorithm
Man Yuan, Tianjie Lei, Xuemei Liu, Shican Li
Author Affiliations +
Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111791A (2019) https://doi.org/10.1117/12.2548647
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China
Abstract
Fast acquisition and processing of effective data sources are a heated topic in remote sensing image processing research. Unmanned aerial vehicle (UAV) remote sensing system has the advantages of maneuverability, rapidity and economical, it has become a hot topic in the world. The study analyzes the characteristics of remote sensing image and the characteristics of UAV remote sensing system and refers a variety of images fast processing algorithms to explore the rapid remote sensing images stitching and rapid information extraction methods. Based on the analysis of the relevant research at home and abroad, this paper draws lessons from some image processing ideas of modern photogrammetry and proposes a fast image stitching method of UAV remote sensing images based on SURF (Speed Up Robust Features) feature description. This method is applied to UAV remote sensing fast image stitching to achieve high-quality UAV remote sensing images for fast and automatic splicing. The stitching speed of this method is much faster than that of SIFT (Scale-invariant feature transform) algorithm. And the splicing effect of this method is satisfactory.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Man Yuan, Tianjie Lei, Xuemei Liu, and Shican Li "Fast image stitching of unmanned aerial vehicle remote sensing image based on SURF algorithm", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111791A (14 August 2019); https://doi.org/10.1117/12.2548647
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CITATIONS
Cited by 2 scholarly publications and 1 patent.
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KEYWORDS
Unmanned aerial vehicles

Remote sensing

Image processing

Image filtering

Image fusion

Detection and tracking algorithms

Image registration

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