Jun Tu
Airport Detection in SAR Images via Salient Line Segment Detector and Edge-Oriented Region Growing
Tu, Jun; Gao, Fei; Sun, Jinping; Hussain, Amir; Zhou, Huiyu
Abstract
Airport detection in synthetic aperture radar (SAR) images has attracted much concern in the field of remote sensing. Affected by other salient objects with geometrical features similar to those of airports, traditional methods often generate false detections. In order to produce the geometrical features of airports and suppress the influence of irrelevant objects, we propose a novel method for airport detection in SAR images. First, a salient line segment detector is constructed to extract salient line segments in the SAR images. Second, we obtain the airport support regions by grouping these line segments according to the commonality of these geometrical features. Finally, we design an edge-oriented region growing (EORG) algorithm, where growing seeds are selected from the airport support regions with the help of edge information in SAR images. Using EORG, the airport region can be mapped by performing region growing with these seeds. We implement experiments on real radar images to validate the effectiveness of our method. The experimental results demonstrate that our method can acquire more accurate locations and contours of airports than several state-of-the-art airport detection algorithms.
Citation
Tu, J., Gao, F., Sun, J., Hussain, A., & Zhou, H. (2020). Airport Detection in SAR Images via Salient Line Segment Detector and Edge-Oriented Region Growing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 314-326. https://doi.org/10.1109/jstars.2020.3036052
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 2, 2020 |
Online Publication Date | Nov 6, 2020 |
Publication Date | 2020 |
Deposit Date | Jan 28, 2021 |
Publicly Available Date | Jan 28, 2021 |
Journal | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Print ISSN | 1939-1404 |
Electronic ISSN | 2151-1535 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 14 |
Pages | 314-326 |
DOI | https://doi.org/10.1109/jstars.2020.3036052 |
Keywords | Airport detection, line segment detector (LSD), region growing, synthetic aperture radar (SAR) |
Public URL | http://researchrepository.napier.ac.uk/Output/2718218 |
Files
Airport Detection in SAR Images Via Salient Line Segment Detector and Edge-Oriented Region Growing
(9.2 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
You might also like
Transition-aware human activity recognition using an ensemble deep learning framework
(2024)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search