Airport Detection in SAR Images Via Salient Line Segment Detector and Edge-Oriented Region Growing
| العنوان: | Airport Detection in SAR Images Via Salient Line Segment Detector and Edge-Oriented Region Growing |
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| المؤلفون: | Amir Hussain, Jun Tu, Jinping Sun, Fei Gao, Huiyu Zhou |
| المصدر: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 314-326 (2021) |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Synthetic aperture radar, Atmospheric Science, Computer science, Geophysics. Cosmic physics, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 0211 other engineering and technologies, ComputerApplications_COMPUTERSINOTHERSYSTEMS, line segment detector (LSD), 02 engineering and technology, Line segment, Radar imaging, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Computers in Earth Sciences, TC1501-1800, 021101 geological & geomatics engineering, Airport detection, QC801-809, business.industry, Detector, Image segmentation, synthetic aperture radar (SAR), Ocean engineering, Airport detection, line segment detector (LSD), region growing, synthetic aperture radar (SAR), Salient, Region growing, 020201 artificial intelligence & image processing, Artificial intelligence, business, region growing |
| الوصف: | 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. |
| وصف الملف: | |
| تدمد: | 2151-1535 1939-1404 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58833c53a6bc559cd7543b6c466e6144Test https://doi.org/10.1109/jstars.2020.3036052Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....58833c53a6bc559cd7543b6c466e6144 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21511535 19391404 |
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