Preprocessing Methods for Runway Pictures Taken in Poor Visibility Conditions

被引：0

作者：

Andreev, Denis S. ^{[1
]}

Lysenko, Nikolay V. ^{[1
]}

机构：

[1] St Petersburg Electrotech Univ LETI, Fac Radio Engn & Telecommun, St Petersburg, Russia

来源：

PROCEEDINGS OF THE 2018 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (EICONRUS) | 2018年

关键词：

enhanced flight vision systems; contrast; image processing;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The paper covers the methods of image preprocessing approaches which might be effectively used in Enhanced Flight Vision Systems (EFVS). Modern EFVS designs focus on all-weather vision, which can be accomplished by intelligently fusing images and data from cameras operating in visible light, infrared, and millimeter-wave. Covered methods should provide better characteristics of pictures of runways taken in poor visibility conditions above and below the decision height. Results of this work are relevant to the tasks of avionics, computer vision and image processing.

引用

页码：1063 / 1065

页数：3

共 33 条

[1] Objects Recognition Methods Estimation in Application to Runway Pictures Taken in Poor Visibility Conditions
Andreev, Denis S.
Lysenko, Nikolay V.
PROCEEDINGS OF THE 2019 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (EICONRUS), 2019, : 1141 - 1145
[2] Runway Hazard Detection in Poor Visibility Conditions
Jiang, Bo
Rahman, Zia-Ur
IMAGE PROCESSING: MACHINE VISION APPLICATIONS V, 2012, 8300
[3] Automatic determination of runway edges in poor visibility conditions
Gogineni, Sri Satya Vardhan
Rahman, Zia-ur
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS VI, 2008, 6812
[4] Enhancement of imagery in poor visibility conditions
Woodell, G
Jobson, DJ
Rahman, ZU
Hines, G
Sensors, and Command, Control, Communications, and Intelligence (C31) Technologies for Homeland Security and Homeland Defense IV, Pts 1 and 2, 2005, 5778 : 673 - 683
[5] Runway Extraction in Low Visibility Conditions Based on Sensor Fusion Method
Liu, Changjiang
Zhao, Qijun
Zhang, Yi
Tan, Kokkiong
IEEE SENSORS JOURNAL, 2014, 14 (06) : 1980 - 1987
[6] Enhancement of color images in poor visibility conditions
Tan, KK
Oakley, JP
2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS, 2000, : 788 - 791
[7] Identification of poor visibility conditions in Urban Settings
Gudwani, Hitesh
Singh, Vikram Jit
Mahajan, Shveta
Mittal, Deepti
Das, Amitava
2017 8TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT), 2017,
[8] Simulating poor visibility conditions using image processing
Rokita, P
REAL-TIME IMAGING, 1997, 3 (04) : 275 - 281
[9] Pedestrian Detection in Poor Visibility Conditions: Would SWIR Help?
Bertozzi, Massimo
Fedriga, Rean Isabella
Miron, Alina
Reverchon, Jean-Luc
IMAGE ANALYSIS AND PROCESSING (ICIAP 2013), PT II, 2013, 8157 : 229 - 238
[10] Contrast Enhancement in Poor Visibility Conditions Using Guided Filtering
Chowdhry, Danish Ali
Siddiqui, Adil Masood
Touqir, Imran
RADIOENGINEERING, 2013, 22 (02) : 650 - 656

← 1 2 3 4 →