Bayesian Information Criterion Based Feature Filtering for the Fusion of Multiple Features in High-Spatial-Resolution Satellite Scene Classification
المؤلفون المشاركون
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-07-29
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
This paper presents a novel classification method for high-spatial-resolution satellite scene classification introducing Bayesian information criterion (BIC)-based feature filtering process to further eliminate opaque and redundant information between multiple features.
Firstly, two diverse and complementary feature descriptors are extracted to characterize the satellite scene.
Then, sparse canonical correlation analysis (SCCA) with penalty function is employed to fuse the extracted feature descriptors and remove the ambiguities and redundancies between them simultaneously.
After that, a two-phase Bayesian information criterion (BIC)-based feature filtering process is designed to further filter out redundant information.
In the first phase, we gradually impose a constraint via an iterative process to set a constraint on the loadings for averting sparse correlation descending below to a lower confidence limit of the approximated canonical correlation.
In the second phase, Bayesian information criterion (BIC) is utilized to conduct the feature filtering which sets the smallest loading in absolute value to zero in each iteration for all features.
Lastly, a support vector machine with pyramid match kernel is applied to obtain the final result.
Experimental results on high-spatial-resolution satellite scenes demonstrate that the suggested approach achieves satisfactory performance in classification accuracy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Lin, Da& Xu, Xin& Pu, Fangling. 2015. Bayesian Information Criterion Based Feature Filtering for the Fusion of Multiple Features in High-Spatial-Resolution Satellite Scene Classification. Journal of Sensors،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1070066
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Lin, Da…[et al.]. Bayesian Information Criterion Based Feature Filtering for the Fusion of Multiple Features in High-Spatial-Resolution Satellite Scene Classification. Journal of Sensors No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1070066
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Lin, Da& Xu, Xin& Pu, Fangling. Bayesian Information Criterion Based Feature Filtering for the Fusion of Multiple Features in High-Spatial-Resolution Satellite Scene Classification. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1070066
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1070066
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