24.7 Airport Analysis Systems, Runways

Chapter Contents (Back)
Recognize Airports. Application, Airports. Application, Cartography. Airport Recognition. Aerial Image Analysis. Runways.
See also Airplane Obstacles, Collision Detection, Sense and Avoid.

Huertas, A., Cole, W., and Nevatia, R.,
Detecting Runways in Complex Airport Scenes,
CVGIP(51), No. 2, August 1990, pp. 107-145.
Elsevier DOI BibRef 9008 USC Computer Vision
PDF File. BibRef
Earlier:
Detecting Runways in Aerial Images,
AAAI-87(712-717). BibRef
And: DARPA87(272-297). Perceptual Grouping. Find the runways by several steps: find the long, dominate apars; group and join them; join across gaps; verify according to the markings. BibRef

Huertas, A., Cole, W., and Nevatia, R.,
Using Generic Knowledge in Analysis of Aerial Scenes: A Case Study,
IJCAI89(1642-1648). BibRef 8900 USC Computer VisionGenerate symbolic descriptions of airport scenes with runways, taxiways, buildings, airplanes, etc. BibRef

Hevenor, R.A.[Richard A.], Chen, P.F.[Pi-Fuay],
Automated extraction of airport runway patterns from radar imagery,
US_Patent5,335,298, August 2, 1994.
WWW Link. BibRef 9408

Wang, Y.J.[Yetian-Jian], Pan, L.[Li],
Automatic Airport Recognition Based on Saliency Detection and Semantic Information,
IJGI(5), No. 7, 2016, pp. 115.
DOI Link 1608
BibRef

Cai, B.[Bowen], Jiang, Z.G.[Zhi-Guo], Zhang, H.[Haopeng], Zhao, D.[Danpei], Yao, Y.[Yuan],
Airport Detection Using End-to-End Convolutional Neural Network with Hard Example Mining,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Chen, F.[Fen], Ren, R.L.[Rui-Long], van de Voorde, T.[Tim], Xu, W.B.[Wen-Bo], Zhou, G.Y.[Gui-Yun], Zhou, Y.[Yan],
Fast Automatic Airport Detection in Remote Sensing Images Using Convolutional Neural Networks,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Liu, C.J.[Chang-Jiang], Cheng, I.[Irene], Basu, A.[Anup],
Real-Time Runway Detection for Infrared Aerial Image Using Synthetic Vision and an ROI Based Level Set Method,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Xu, Y.L.[Yue-Lei], Zhu, M.M.[Ming-Ming], Li, S.[Shuai], Feng, H.X.[Hong-Xiao], Ma, S.P.[Shi-Ping], Che, J.[Jun],
End-to-End Airport Detection in Remote Sensing Images Combining Cascade Region Proposal Networks and Multi-Threshold Detection Networks,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Doler, D.[Damjan], Kovacic, B.[Boštjan],
Improved Decision-Making Geo-Information System for Continuous Monitoring of Deformations on Airport Infrastructure,
IJGI(8), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Zeng, F.X.[Fan-Xuan], Cheng, L.[Liang], Li, N.[Ning], Xia, N.[Nan], Ma, L.[Lei], Zhou, X.[Xiao], Li, M.C.[Man-Chun],
A Hierarchical Airport Detection Method Using Spatial Analysis and Deep Learning,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Liu, N.Y.[Neng-Yuan], Cao, Z.J.[Zong-Jie], Cui, Z.Y.[Zong-Yong], Pi, Y.M.[Yi-Ming], Dang, S.H.[Si-Hang],
Multi-Layer Abstraction Saliency for Airport Detection in SAR Images,
GeoRS(57), No. 12, December 2019, pp. 9820-9831.
IEEE DOI 1912
Airports, Radar polarimetry, Atmospheric modeling, Remote sensing, Image segmentation, Synthetic aperture radar, Speckle, synthetic aperture radar (SAR) images BibRef

Chen, L.[Lifu], Tan, S.[Siyu], Pan, Z.H.[Zhou-Hao], Xing, J.[Jin], Yuan, Z.H.[Zhi-Hui], Xing, X.M.[Xue-Min], Zhang, P.[Peng],
A New Framework for Automatic Airports Extraction from SAR Images Using Multi-Level Dual Attention Mechanism,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Erkan, T.E.[Turan Erman], Elsharida, W.M.[Wael Mohamed],
Combining AHP and ROC with GIS for Airport Site Selection: A Case Study in Libya,
IJGI(9), No. 5, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Ding, W.[Wei], Wu, J.D.[Ji-Dong],
An Airport Knowledge-Based Method for Accurate Change Analysis of Airport Runways in VHR Remote Sensing Images,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Ciampoli, L.B.[Luca Bianchini], Gagliardi, V.[Valerio], Ferrante, C.[Chiara], Calvi, A.[Alessandro], d'Amico, F.[Fabrizio], Tosti, F.[Fabio],
Displacement Monitoring in Airport Runways by Persistent Scatterers SAR Interferometry,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Zhong, Y.F.[Yan-Fei], Zheng, Z.[Zhuo], Ma, A.L.[Ai-Long], Lu, X.Y.[Xiao-Yan], Zhang, L.P.[Liang-Pei],
COLOR: Cycling, Offline Learning, and Online Representation Framework for Airport and Airplane Detection Using GF-2 Satellite Images,
GeoRS(58), No. 12, December 2020, pp. 8438-8449.
IEEE DOI 2012
Airplanes, Remote sensing, Airports, Feature extraction, Training, Image color analysis, Satellites, Data-driven, deep learning, large-scale remote sensing imagery BibRef

Wang, D.C.[Dao-Chang], Liu, Q.[Qi], Yin, Q.[Qiang], Ma, F.[Fei],
Fast Line Segment Detection and Large Scene Airport Detection for PolSAR,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Chen, M.Q.[Ming-Qiang], Hu, Y.Z.[Yu-Zhou],
An image-based runway detection method for fixed-wing aircraft based on deep neural network,
IET-IPR(18), No. 8, 2024, pp. 1939-1949.
DOI Link Code:
WWW Link. 2406
edge detection, image classification, image segmentation, visual databases BibRef


Zhang, Q., Shi, W., Zhang, L., Liu, Y.,
Integrating Sparse Reconstruction Saliency and Target-Aware Active Contour Model for Airport Extraction,
ICIP18(3059-3063)
IEEE DOI 1809
Airports, Atmospheric modeling, Dictionaries, Image reconstruction, Active contours, Image segmentation, Machine learning, active contour model BibRef

Zhu, T.H.[Ting-He], Li, Y.H.[Yu-Hui], Ye, Q.K.[Qian-Kun], Huo, H.[Hong], Fang, T.[Tao],
Integrating saliency and ResNet for airport detection in large-size remote sensing images,
ICIVC17(20-25)
IEEE DOI 1708
Airports, Detectors, Entropy, Feature extraction, Image segmentation, Object detection, Remote sensing, airport detection, deep residual network, large-size remote sensing images, line segment detector, single, shot, multibox, detector BibRef

Cao, X., Gong, G., Liu, M., Qi, J.,
Foreign Object Debris Detection on Airfield Pavement Using Region Based Convolution Neural Network,
DICTA16(1-6)
IEEE DOI 1701
Convolution BibRef

Howard, H., Hummel, P.,
Precise Ortho Imagery As The Source For Authoritative Airport Mapping,
ISPRS16(B8: 1251-1255).
DOI Link 1610
BibRef

Dabbiru, L., Wei, P., Harsh, A., White, J., Ball, J.E., Aanstoos, J.V.[James V.], Donohoe, P., Doyle, J., Jackson, S., Newman, J.,
Runway assessment via remote sensing,
AIPR15(1-4)
IEEE DOI 1605
aircraft BibRef

Kou, Z.[Zuyang], Shi, Z.W.[Zhen-Wei], Liu, L.[Liu],
Airport detection based on Line Segment Detector,
CVRS12(72-77).
IEEE DOI 1302
BibRef

Dong, Y.W.[Yin-Wen], Yuan, B.C.[Bing-Cheng], Wang, H.Y.[Hang-Yu], Shi, Z.M.[Zhao-Ming],
A runway recognition algorithm based on heuristic line extraction,
IASP11(292-296).
IEEE DOI 1112
BibRef

Korn, B.[Bernd], Doehler, H.U.[Hans-Ullrich], Hecker, P.[Peter],
Weather Independent Flight Guidance: Analysis of Mmw Radar Images for Approach and Landing,
ICPR00(Vol I: 350-353).
IEEE DOI 0009
From the radar data find the runway. BibRef

Antonacopoulos, A.[Apostolos], Finch, I.,
Identification of Airfield Runways in Synthetic Aperture Radar Images,
ICPR98(Vol II: 1633-1636).
IEEE DOI 9808
BibRef

Tang, Y.L.[Yuan-Ling], Kasturi, R.[Rangachar],
Runway Detection in an Image Sequence,
SPIE(2421), February 1995, pp. 181-190. Landing sequence runway detection. BibRef 9502

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
ATR Applications, Automatic Target Recognition .


Last update:Sep 28, 2024 at 17:47:54