Visual Enhancement of Aerial Flight in High Plateau Low Visibility Conditions

Ying Xiao

doi:10.62051/ijcsit.v4n1.33

Authors

Ying Xiao

DOI:

https://doi.org/10.62051/ijcsit.v4n1.33

Keywords:

Low visibility, Otsu Split, Regional growth, Morphological filtering

Abstract

A method for automatic detection of airport runways in low visibility, forward and downward looking aerial airport images is proposed. Firstly, the recursive Otsu segmentation method is used to extract the main contour of the airport from the complex background; then the morphological filtering is performed by using the morphology-based open and swell operations, the open operation is used to filter out the isolated noise points and the swell operation is used to connect the segmented airport components into a complete whole; finally, the morphological filtered image is subjected to the region growth to localize the main runway of the airport. Finally, the morphology filtered image is processed to localize the main airport runway by its region growth. It is proved that this method can quickly and accurately detect and localize the main and auxiliary runways of airports in low visibility and forward and downward looking aerial images of airports.

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References

[1] Jiang G H, Cheraghi S. Evaluation of 3-D feature relating position error [J]. Precision Engineering, 2001, 25: 284-292.

[2] Chen V H, Bradley C. A multi-sensor approach to automating co-ordinate measuring machine-based reverse engineering [J]. Computer in Industry, 2001, 44: 105-115.

[3] Foster L W. Geo-Metrics: The metric application of geometric dimensioning and tolerancing techniques [M]. New York: Addison Wesley, 1994.

[4] Milroy M J, Weir D J, Bradley C, et al. Rerverse engineering employing a3D laser scanner: a case study [J]. International Journal of Advanced Manufacturing Technology, 1996, 12: 111-121.

[5] Lemoine O, François J M, Point P. Contribution of TopOwl head mounted display system in degraded visual environments[C]//SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2013: 87370B-87370B-10.

[6] Knabl P, Többen H. Symbology Development for a 3D Conformal Synthetic Vision Helmet-Mounted Display for Helicopter Operations in Degraded Visual Environment[M]// Engineering Psychology and Cognitive Ergonomics. Understanding Human Cognition. Springer Berlin Heidelberg, 2013:232-241.

[7] Szoboszlay Z P, Fujizawa B T, Ltc C R, et al. 3D-LZ Flight Test of 2013: Landing an EH-60L Helicopter in a Brownout Degraded Visual Environment[C]// American Helicopter Society Forum. 2014.

[8] Wallace H B. Helicopter synthetic vision based DVE processing for all phases of flight[J]. Proceedings of Spie, 2013, 8737(1):873706.

[9] Sykora B. BAE systems brownout landing aid system technology (BLAST) system overview and flight test results[J]. Proceedings of SPIE - The International Society for Optical Engineering, 2012, 8360:19.

[10] Schafhitzel T, Hoyer M, Völschow P. Increasing situational awareness in DVE with advanced synthetic vision[C]//SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2013: 87370C-87370C-14.

[11] Degraded Visual Environments: Enhanced, Synthetic, and External Vision Solutions 2013, edited by Kenneth L. Bernier,Jeff J. Güell, Proc. of SPIE Vol. 8737, 87370L · © 2013 SPIE · CCC code 0277-786X/13/$18 · doi: 10.1117/12.2018053.

[12] Szoboszlay Z, Fujiwara B, Ott C, et al. R.,“3D-LZ Flight Test of 2013: Landing an EH-60L Helicopter in a Brownout Degraded Visual Environment,”[C]//American Helicopter Society 70th Annual Forum, Montréal, Québec, Canada. 2014.

[13] Szoboszlay Z P, Mckinley R A, Ltc S R, et al. Landing an H-60 Helicopter in Brownout Conditions Using 3D-LZ Displays[C]// American Helicopter Society, Forum. 2010.

[14] Savage J, Burns H N, Szoboszlay Z. 3D-LZ helicopter ladar imaging system[J]. Proceedings of SPIE - The International Society for Optical Engineering, 2010, 7684:768407-768407-9.

[15] Harrington W, Savage J, Mckinley R A, et al. 3D-LZ Brownout Landing Solution[C]// American Helicopter Society, Forum. 2010.

[16] Völschow P, Münsterer T, Strobel M, et al. Display of real-time 3D sensor data in a DVE system[C]// SPIE Defense + Security. 2016:98390N.

[17] Prinzel L J, Kramer L J, Arthur J J, et al. Multi-Dimensionality of Synthetic Vision Cockpit Displays: Prevention of Controlled-Flight-Into-Terrain[J]. Human Factors & Ergonomics Society Annual Meeting Proceedings, 2006, 50(17):2056-2059.

[18] Head-Up Display (HUD) Technology and Trends[R]// Rockwell Collins 2012.6.7 1-14.

[19] Güell J J. Sensor based 3D conformal cueing for safe and reliable HC operation specifically for landing in DVE[J]. Proceedings of SPIE - The International Society for Optical Engineering, 2013, 8737(5).

[20] Etherington T J, Kramer L J, Severance K, et al. Enhanced Flight Vision Systems operational feasibility study using radar and infrared sensors[C]// Digital Avionics Systems Conference. IEEE, 2015.

[21] Reibel R R, Roos P A, Kaylor B M, et al. Imaging through obscurants with a heterodyne detection-based ladar system[C]// SPIE Defense + Security. 2014:908706.