GOCE gravity gradient predictions by Taylor-Karman structured covariance tensor

Rey Jer You, Wei Nan Kao

研究成果: Paper同行評審

摘要

The modern space missions, e.g. ERS, SPOT, and the FORMOSAT etc., have offered a number of data and images for Earth's resource exploration and environment monitoring. Recently, the Gravity-field and steady-state Ocean Circulation Explorer (GOCE) satellite mission provides highly precise gradiometric measurement data for recovery of Earth's gravity field from space. When using the gravity gradients (the second derivatives of the gravitational potential) for prediction and filtering by stochastic processes like the Kolmogorov-Wiener or Gauss-Markov method, we have to first give the fourth-order variance-covariance/correlation matrices of the gravity gradient signals. For the consistency, this paper aims at the development of the fourth-order variance-covariance matrices by the famous Taylor-Kármán structured tensor. The variance-covariance Tensors developed here can be as prior information for fitting the discrete data from observations. Numeric examples illustrate the adaptation of our variance-covariance matrices.

原文English
出版狀態Published - 2015 一月 1
事件36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015 - Quezon City, Metro Manila, Philippines
持續時間: 2015 十月 242015 十月 28

Other

Other36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015
國家/地區Philippines
城市Quezon City, Metro Manila
期間15-10-2415-10-28

All Science Journal Classification (ASJC) codes

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