دورية أكاديمية

Airport Detection in SAR Images Via Salient Line Segment Detector and Edge-Oriented Region Growing

التفاصيل البيبلوغرافية
العنوان: Airport Detection in SAR Images Via Salient Line Segment Detector and Edge-Oriented Region Growing
المؤلفون: Jun Tu, Fei Gao, Jinping Sun, Amir Hussain, Huiyu Zhou
المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 314-326 (2021)
بيانات النشر: IEEE, 2021.
سنة النشر: 2021
المجموعة: LCC:Ocean engineering
LCC:Geophysics. Cosmic physics
مصطلحات موضوعية: Airport detection, line segment detector (LSD), region growing, synthetic aperture radar (SAR), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809
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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2151-1535
العلاقة: https://ieeexplore.ieee.org/document/9250522Test/; https://doaj.org/toc/2151-1535Test
DOI: 10.1109/JSTARS.2020.3036052
الوصول الحر: https://doaj.org/article/4a734be89cc4437d963596245066a8b0Test
رقم الانضمام: edsdoj.4a734be89cc4437d963596245066a8b0
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21511535
DOI:10.1109/JSTARS.2020.3036052