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Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search
المؤلفون المشاركون
Wang, Mingwei
Wan, Youchuan
Shi, Lei
Gao, Xianjun
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-01-18
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
In object-based image analysis of high-resolution images, the number of features can reach hundreds, so it is necessary to perform feature reduction prior to classification.
In this paper, a feature selection method based on the combination of a genetic algorithm (GA) and tabu search (TS) is presented.
The proposed GATS method aims to reduce the premature convergence of the GA by the use of TS.
A prematurity index is first defined to judge the convergence situation during the search.
When premature convergence does take place, an improved mutation operator is executed, in which TS is performed on individuals with higher fitness values.
As for the other individuals with lower fitness values, mutation with a higher probability is carried out.
Experiments using the proposed GATS feature selection method and three other methods, a standard GA, the multistart TS method, and ReliefF, were conducted on WorldView-2 and QuickBird images.
The experimental results showed that the proposed method outperforms the other methods in terms of the final classification accuracy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shi, Lei& Wan, Youchuan& Gao, Xianjun& Wang, Mingwei. 2018. Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1130815
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shi, Lei…[et al.]. Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1130815
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shi, Lei& Wan, Youchuan& Gao, Xianjun& Wang, Mingwei. Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1130815
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1130815
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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