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Fast Image Registration for Spacecraft Autonomous Navigation Using Natural Landmarks
المؤلفون المشاركون
Yu, Feng
Hua, Bing
Wu, Yunhua
Chen, Zhiming
Ge, Lin-Lin
Wang, Feng
المصدر
International Journal of Aerospace Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-08-12
دولة النشر
مصر
عدد الصفحات
12
الملخص EN
In order to satisfy the real-time requirement of spacecraft autonomous navigation using natural landmarks, a novel algorithm called CSA-SURF (chessboard segmentation algorithm and speeded up robust features) is proposed to improve the speed without loss of repeatability performance of image registration progress.
It is a combination of chessboard segmentation algorithm and SURF.
Here, SURF is used to extract the features from satellite images because of its scale- and rotation-invariant properties and low computational cost.
CSA is based on image segmentation technology, aiming to find representative blocks, which will be allocated to different tasks to speed up the image registration progress.
To illustrate the advantages of the proposed algorithm, PCA-SURF, which is the combination of principle component analysis and SURF, is also analyzed in this paper for comparison.
Furthermore, random sample consensus (RANSAC) algorithm is applied to eliminate the false matches for further accuracy improvement.
The simulation results show that the proposed strategy obtains good results, especially in scaling and rotation variation.
Besides, CSA-SURF decreased 50% of the time in extraction and 90% of the time in matching without losing the repeatability performance by comparing with SURF algorithm.
The proposed method has been demonstrated as an alternative way for image registration of spacecraft autonomous navigation using natural landmarks.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wu, Yunhua& Ge, Lin-Lin& Wang, Feng& Hua, Bing& Chen, Zhiming& Yu, Feng. 2018. Fast Image Registration for Spacecraft Autonomous Navigation Using Natural Landmarks. International Journal of Aerospace Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1167818
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wu, Yunhua…[et al.]. Fast Image Registration for Spacecraft Autonomous Navigation Using Natural Landmarks. International Journal of Aerospace Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1167818
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wu, Yunhua& Ge, Lin-Lin& Wang, Feng& Hua, Bing& Chen, Zhiming& Yu, Feng. Fast Image Registration for Spacecraft Autonomous Navigation Using Natural Landmarks. International Journal of Aerospace Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1167818
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1167818
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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