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Makale detayı · 2013 · article

Regularized estimation of Euler pole parameters

ISSN1880-5981
YÖKSİS OpenAlex Açık erişim · hybrid
Yıl2013
Atıf3OpenAlex
Yüzdelik%58,6
FWCI0,251,00 = dünya ortalaması
Scopus (SJR)Q1
WoS (JCR)Q1

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıEARTH PLANETS AND SPACE
  • Katalog eşleşmesi (ISSN)Earth, Planets and Space
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

Euler vectors provide a unified framework to quantify the relative or absolute motions of tectonic plates through various geodetic and geophysical observations. With the advent of space geodesy, Euler parameters of several relatively small plates have been determined through the velocities derived from the space geodesy observations. However, the available data are usually insufficient in number and quality to estimate both the Euler vector components and the Euler pole parameters reliably. Since Euler vectors are defined globally in an Earth-centered Cartesian frame, estimation with the limited geographic coverage of the local/regional geodetic networks usually results in highly correlated vector components. In the case of estimating the Euler pole parameters directly, the situation is even worse, and the position of the Euler pole is nearly collinear with the magnitude of the rotation rate. In this study, a new method, which consists of an analytical derivation of the covariance matrix of the Euler vector in an ideal network configuration, is introduced and a regularized estimation method specifically tailored for estimating the Euler vector is presented. The results show that the proposed method outperforms the least squares estimation in terms of the mean squared error.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

3atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 1 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2014 Improved Non Parametric Geometric Corrections For Satellite Imagery Through Covariance ConstraintsAtıf 8 · OpenAlex

Yazarlar

3
  1. BAHADIR AKTUĞ ANKARA ÜNİVERSİTESİ 1
  2. ÖMER YILDIRIM 2
  3. NİHAL TURAN GÜL 3