Optical Flow Inversion for Remote Sensing Image Dense Registration and Sensor's Attitude Motion High-Accurate Measurement
المؤلفون المشاركون
Li, Bin
You, Zheng
Tao, Qingchang
Zhao, Borui
Wang, Chong
Zhang, Gaofei
Xing, Fei
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-01-16
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
It has been discovered that image motions and optical flows usually become much more nonlinear and anisotropic in space-borne cameras with large field of view, especially when perturbations or jitters exist.
The phenomenon arises from the fact that the attitude motion greatly affects the image of the three-dimensional planet.
In this paper, utilizing the characteristics, an optical flow inversion method is proposed to treat high-accurate remote sensor attitude motion measurement.
The principle of the new method is that angular velocities can be measured precisely by means of rebuilding some nonuniform optical flows.
Firstly, to determine the relative displacements and deformations between the overlapped images captured by different detectors is the primary process of the method.
A novel dense subpixel image registration approach is developed towards this goal.
Based on that, optical flow can be rebuilt and high-accurate attitude measurements are successfully fulfilled.
In the experiment, a remote sensor and its original photographs are investigated, and the results validate that the method is highly reliable and highly accurate in a broad frequency band.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Chong& You, Zheng& Xing, Fei& Zhao, Borui& Li, Bin& Zhang, Gaofei…[et al.]. 2014. Optical Flow Inversion for Remote Sensing Image Dense Registration and Sensor's Attitude Motion High-Accurate Measurement. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-471866
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Chong…[et al.]. Optical Flow Inversion for Remote Sensing Image Dense Registration and Sensor's Attitude Motion High-Accurate Measurement. Mathematical Problems in Engineering No. 2014 (2014), pp.1-16.
https://search.emarefa.net/detail/BIM-471866
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Chong& You, Zheng& Xing, Fei& Zhao, Borui& Li, Bin& Zhang, Gaofei…[et al.]. Optical Flow Inversion for Remote Sensing Image Dense Registration and Sensor's Attitude Motion High-Accurate Measurement. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-471866
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-471866
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