Improvement of target recognition ability based on micro-scanning

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.