Data Fusion and Fuzzy Clustering on Ratio Images for Change Detection in Synthetic Aperture Radar Images
المؤلفون المشاركون
Jiao, L. C.
Ma, Wenping
Wu, Yue
Li, Xiaoting
Xing, Dan
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-12-14
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
The unsupervised approach to change detection via synthetic aperture radar (SAR) images becomes more and more popular.
The three-step procedure is the most widely used procedure, but it does not work well with the Yellow River Estuary dataset obtained by two synthetic aperture radars.
The difference of the two radars in imaging techniques causes severe noise, which seriously affects the difference images generated by a single change detector in step two, producing the difference image.
To deal with problem, we propose a change detector to fuse the log-ratio (LR) and the mean-ratio (MR) images by a context independent variable behavior (CIVB) operator and can utilize the complement information in two ratio images.
In order to validate the effectiveness of the proposed change detector, the change detector will be compared with three other change detectors, namely, the log-ratio (LR), mean-ratio (MR), and the wavelet-fusion (WR) operator, to deal with three datasets with different characteristics.
The four operators are applied not only in a widely used three-step procedure but also in a new approach.
The experiments show that the false alarms and overall errors of change detection are greatly reduced, and the kappa and KCC are improved a lot.
And its superiority can also be observed visually.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ma, Wenping& Li, Xiaoting& Wu, Yue& Jiao, L. C.& Xing, Dan. 2014. Data Fusion and Fuzzy Clustering on Ratio Images for Change Detection in Synthetic Aperture Radar Images. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1044231
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ma, Wenping…[et al.]. Data Fusion and Fuzzy Clustering on Ratio Images for Change Detection in Synthetic Aperture Radar Images. Mathematical Problems in Engineering No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-1044231
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ma, Wenping& Li, Xiaoting& Wu, Yue& Jiao, L. C.& Xing, Dan. Data Fusion and Fuzzy Clustering on Ratio Images for Change Detection in Synthetic Aperture Radar Images. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1044231
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1044231
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