Paper
25 January 2024 Improvement of target recognition ability based on micro-scanning
Bingtao Guo, Wenbo Duan, Qi Han, Pengcheng Cai, Yitian Wang, Dong Ren, Hang Yuan
Author Affiliations +
Abstract
Aiming at the requirements of optical detection and recognition for wide-area and continuous monitoring of aircraft targets, the influence of micro-scanning on the imaging and recognition performance of aircraft target is discussed in this article. This paper proposes a statistical method for aircraft target recognition threshold based on human vision. On the basis of analyzing the imaging principle of micro-scanning, the edge feature of the aircraft target is extracted using the Canny algorithm. Then the main axis direction of the aircraft target is determined based on the principal component analysis (PCA). Sampling is performed at equal intervals along the vertical direction of the main axis of the aircraft, and the characteristic parameters of the contour edge of the aircraft target are extracted. The matching algorithm of Spearman rank correlation coefficient is used to judge whether the target is recognizable. Research results show that the influence of sampling phase on target imaging can be eliminated by micro-scanning. The recognition distance of the target is significantly improved with the increase of scanning times. A smaller optical system aperture can be selected to achieve the task of target recognition when the micro-scanning imaging mode is used.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Bingtao Guo, Wenbo Duan, Qi Han, Pengcheng Cai, Yitian Wang, Dong Ren, and Hang Yuan "Improvement of target recognition ability based on micro-scanning", Proc. SPIE 12972, International Academic Conference on Optics and Photonics (IACOP 2023), 129720L (25 January 2024); https://doi.org/10.1117/12.3022761
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Target recognition

Target detection

Imaging systems

Sensors

Correlation coefficients

Human vision

Infrared imaging

RELATED CONTENT


Back to Top