Binary Morphological Filtering of Dominant Scattering Area Residues for SAR Target Recognition
المؤلفون المشاركون
Shan, Chao
Huang, Bin
Li, Minggao
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-12-03
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
A synthetic aperture radar (SAR) target recognition method is proposed in this study based on the dominant scattering area (DSA).
DSA is a binary image recording the positions of the dominant scattering centers in the original SAR image.
It can reflect the distribution of the scattering centers as well as the preliminary shape of the target, thus providing discriminative information for SAR target recognition.
By subtracting the DSA of the test image with those of its corresponding templates from different classes, the DSA residues represent the differences between the test image and various classes.
To further enhance the differences, the DSA residues are subject to the binary morphological filtering, i.e., the opening operation.
Afterwards, a similarity measure is defined based on the filtered DSA residues after the binary opening operation.
Considering the possible variations of the constructed DSA, several different structuring elements are used during the binary morphological filtering.
And a score-level fusion is performed afterwards to obtain a robust similarity.
By comparing the similarities between the test image and various template classes, the target label is determined to be the one with the maximum similarity.
To validate the effectiveness and robustness of the proposed method, experiments are conducted on the moving and stationary target acquisition and recognition (MSTAR) dataset and compared with several state-of-the-art SAR target recognition methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shan, Chao& Huang, Bin& Li, Minggao. 2018. Binary Morphological Filtering of Dominant Scattering Area Residues for SAR Target Recognition. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1130858
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shan, Chao…[et al.]. Binary Morphological Filtering of Dominant Scattering Area Residues for SAR Target Recognition. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1130858
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shan, Chao& Huang, Bin& Li, Minggao. Binary Morphological Filtering of Dominant Scattering Area Residues for SAR Target Recognition. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1130858
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1130858
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر