[1] Guo Y Y, Sun Y C, Li L B et al. Prediction of catastrophic accident types of civil aircraft at approach and landing phases[J]. Aeronautical Computing Technique, 46, 31-34(2016).

[2] Du H B, Li Z X. Cause analysis on approach-and-landing loss accidents and their countermeasures[J]. China Safety Science Journal (CSSJ), 16, 118-122, 148(2006).

[3] Jiang X H. Full-course reentry trajectory design for horizontal landing hypersonic vehicle[D](2019).

[4] Wu L J, Cao Y F, Ding M et al. Runway recognition and tracking based on autonomous landing of UAV[J]. Microcontrollers & Embedded Systems, 17, 28-32, 50(2017).

[5] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C], 580-587(2014).

[6] Girshick R. Fast R-CNN[C], 1440-1448(2015).

[7] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

[8] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016, 9905, 21-37(2016).

[9] Qu H Q, Yuan T Y, Sheng Z Y et al. A pedestrian detection method based on YOLOv3 model and image enhanced by retinex[C](2018).

[10] Bochkovskiy A, Wang C Y, Liao H Y M. YOLOv4: optimal speed and accuracy of object detection[EB/OL]. https://arxiv.org/abs/2004.10934v1

[11] Wei L, Chen Y, Wang B et al. A system design for detecting airport runway assisted aircraft landing[J]. Civil Aircraft Design & Research, 65-69(2021).

[12] Hou Q Z, Sun J Y, Wang H et al. Runway edge lights brightness detection based on improved RetinaNet[J]. Laser & Optoelectronics Progress, 59, 0210012(2022).

[13] Wang L J, Jiang H T, Liu C L et al. An airport runway detection algorithm based on semantic segmentation[J]. Navigation Positioning and Timing, 8, 97-106(2021).

[14] Ji C, Cheng L, Li N et al. Validation of global airport spatial locations from open databases using deep learning for runway detection[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 1120-1131.

[15] Amit R A, Mohan C K. A robust airport runway detection network based on R-CNN using remote sensing images[J]. IEEE Aerospace and Electronic Systems Magazine, 36, 4-20(2021).