Technology of Graphic & Image
|
309-314

Stitching algorithm of UAV pavement remote sensing image with three-component autonomy consciousness

Gao Mingxing
Feng Shuangda
Zhao Ting
Guo Min
College of Energy & Transportation Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China

Abstract

This paper presented a remote sensing image mosaic algorithm for pavement diseases. There was a dynamic sensed of autonomy in its three components(3c). The algorithm solved a problem in the detection process, which needed to parameterize the pavement disease information with high-resolution panoramic images. This paper determined the autonomous consciousness of the UAV system in a three-dimensional structure based on target detection and stereo active vision, used an incremental search strategy to triangulate SIFT point features based on geometric constraints, combined the PNP-RANSAC algorithm to find the best matching surface for eliminating the wrong matching and used trigonometric function theory to fuse the images. It realized the fast and accurate splicing of long-thread data sets of diseased pavement. The average feature search time is 43.45% of that without the incremental search strategy, and the stitching accuracy is over 88%. The experimental data show that the three-component autonomous awareness-based UAV pavement remote sensing image stitching system can effectively cope with long-lane pavement distress images.

Foundation Support

内蒙古自治区重点科技攻关项目(2021GG78)
内蒙古自治区高校重点科研项目(NJZZ21013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0210
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 1
Section: Technology of Graphic & Image
Pages: 309-314
Serial Number: 1001-3695(2023)01-052-0309-06

Publish History

[2022-07-06] Accepted Paper
[2023-01-05] Printed Article

Cite This Article

高明星, 冯双达, 赵婷, 等. 基于三分量自主意识UAV路面遥感图像拼接算法 [J]. 计算机应用研究, 2023, 40 (1): 309-314. (Gao Mingxing, Feng Shuangda, Zhao Ting, et al. Stitching algorithm of UAV pavement remote sensing image with three-component autonomy consciousness [J]. Application Research of Computers, 2023, 40 (1): 309-314. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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