Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3446132.3446198acmotherconferencesArticle/Chapter ViewAbstractPublication PagesacaiConference Proceedingsconference-collections
research-article

Research on the application of image processing in improving the reconnaissance efficiency of UAV

Published: 09 March 2021 Publication History

Abstract

With the development of military intelligence, uav has become one of the important means of intelligence acquisition in modern warfare. As the main way of UAV reconnaissance, image reconnaissance is playing an increasingly important role in the mission. At present, in the process of uav image reconnaissance, there are still some problems, such as unclear fog image and inability to reflect the overall situation. Aiming at these two kinds of problems, this paper reviews several mainstream algorithms of image processing. Then the algorithm is compared and analyzed based on the characteristics of uav reconnaissance image. Finally, the application prospect of image processing algorithm in improving uav reconnaissance efficiency is prospected.

References

[1]
Liang W, Long J, Li K C, A Fast Defogging Image Recognition Algorithm based on Bilateral Hybrid Filtering[J]. ACM Transactions on Multimedia Computing Communications and Applications, 2020
[2]
Ma R, Zhang S . An improved color image defogging algorithm using dark channel model and enhancing saturation[J]. Optik International Journal for Light & Electron Optics, 2019, 180:997-1000.
[3]
Chen Z, Zhang D, Xu Y, Research of Polarized Image Defogging Technique Based on Dark Channel Priori and Guided Filtering[J]. Procedia Computer Science, 2018, 131:289-294.
[4]
Dilbag SINGH, Vijay KUMAR. Single image defogging by gain gradient image filter[J]. Science China(Information Sciences), 2019.
[5]
WANG Gui-ping, SONG Jing, DU Jing-jing,等. Haze Defogging Algorithm for Traffic Images Based on Improved Gradient Similarity Kernel[J]. China Journal of Highway and Transport, 2018.
[6]
Nandal S, Kumar S . Fractional-Order Anisotropic Diffusion for Defogging of RGB Images[J]. International Journal of Image and Graphics, 2020.
[7]
Ting-Ting G, Jin Y, Ling-Xiao H, Image Defogging Technology Based on Dark Channel Prior[J]. Computer & Telecommunication, 2019.
[8]
Hongxing P, Jinda L, Jialong G E, A Review on Image Mosaicing Techniques[J]. Journal of Zhengzhou University(Natural ence Edition), 2019.
[9]
Deshmukh P, Paikrao P . A Review of Various Image Mosaicing Techniques[C]// 2019 Innovations in Power and Advanced Computing Technologies (i-PACT). 2019.
[10]
Ai Y, Kan J . Image mosaicing based on improved optimal seam-cutting (January 2020)[J]. IEEE Access, 2020, PP(99):1-1.
[11]
Lati A, Belhocine M, Achour N . Robust aerial image mosaicing algorithm based on fuzzy outliers rejection[J]. Evolving Systems, 2019.
[12]
Bellavia F, Colombo C . Dissecting and Reassembling Color Correction Algorithms for Image Stitching[J]. IEEE Transactions on Image Processing, 2018, 27(2):735-748.
[13]
Pan F, Shang H . Enhacing Image Mosaicing with Adaptive Local Homographies[C]// 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP). IEEE, 2018.
[14]
Tahtirvanci A, Durdu A . Performance Analysis of Image Mosaicing Methods for Unmanned Aerial Vehicles[C]// 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI 2018). 2018.
[15]
Mohamed Abdul – Rahim, Zheng – Sheng Yu. An In Depth Review Paper on Numerous Image Mosaicing Approaches and Techniques[J]. 2018.

Cited By

View all
  • (2023)Mask Wearing Detection System for Epidemic Control Based on STM32International Conference on Innovative Computing and Communications10.1007/978-981-99-4071-4_56(731-740)Online publication date: 26-Oct-2023

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
ACAI '20: Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence
December 2020
576 pages
ISBN:9781450388115
DOI:10.1145/3446132
This work is licensed under a Creative Commons Attribution International 4.0 License.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 March 2021

Check for updates

Author Tags

  1. Image processing
  2. Reconnaissance
  3. Unmanned aerial vehicle

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

ACAI 2020

Acceptance Rates

Overall Acceptance Rate 173 of 395 submissions, 44%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)6
  • Downloads (Last 6 weeks)0
Reflects downloads up to 22 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2023)Mask Wearing Detection System for Epidemic Control Based on STM32International Conference on Innovative Computing and Communications10.1007/978-981-99-4071-4_56(731-740)Online publication date: 26-Oct-2023

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media