Aerial Image Stitching Algorithm for Unmanned Aerial Vehicles Based on Improved ORB and PROSAC

Zhenyu Li; Yuan Tian; Fangjie Chen; Jun Han

doi:10.3788/LOP56.231003

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 23 >Page 231003 > Article

Laser & Optoelectronics Progress
Vol. 56, Issue 23, 231003 (2019)

Aerial Image Stitching Algorithm for Unmanned Aerial Vehicles Based on Improved ORB and PROSAC

Zhenyu Li^1,2, Yuan Tian³, Fangjie Chen^4,*, and Jun Han⁴

Author Affiliations

¹State Grid Power System Artificial Intelligence Joint Lab, State Grid Shandong Electric Power Company Electric Power Research Institute, Jinan, Shandong 250001, China

²Shandong Luneng Intelligent Technology Co., Ltd., Jinan, Shandong 250002, China

³State Grid Shandong Electric Power Company, Jinan, Shandong 250001, China

⁴School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China

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DOI: 10.3788/LOP56.231003 Cite this Article Set citation alerts

Zhenyu Li, Yuan Tian, Fangjie Chen, Jun Han. Aerial Image Stitching Algorithm for Unmanned Aerial Vehicles Based on Improved ORB and PROSAC[J]. Laser & Optoelectronics Progress, 2019, 56(23): 231003 Copy Citation Text

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Article index updated: Mar. 25, 2025

The article is cited by 6 article(s) CLP online library. (Some content might be in Chinese.)

Zhenyu Li, Yuan Tian, Fangjie Chen, Jun Han. Aerial Image Stitching Algorithm for Unmanned Aerial Vehicles Based on Improved ORB and PROSAC[J]. Laser & Optoelectronics Progress, 2019, 56(23): 231003

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