Outlying observations are undesirable but possible elements of geodetic measurements. In
such a context, the primary and trivial solution is to repeat “suspected” observations. The …

Generalized robust M-estimation of deformation from observation differences (GREDOD) is
a robust method for deformation analysis of geodetic control networks. This method has …

In geodetic networks, observations are measured repetitively, and the mean values of these
observations are used for network adjustment, outlier detection, deformation analysis, etc …

It is well known that the reference points' stability is a very important issue in the geodetic
methods of determining the displacements. The methodology of the geodetic deformation …

The article presents the issue of determining a proper number of competitive functional
models in the square M split (q) estimation. It is assumed in the theoretical fundamentals of …

The observations in geodetic networks are measured repetitively and in the network
adjustment step, the mean values of these original observations are used. The mean …

Classical outlier detection test methods such as Baarda test and Pope test are generally
preferred in geodetic problems. They depend on the Least Square Estimation (LSE) and …

A robust Kalman filter based on Chi square test with sequential measurement update is
proposed. This approach can not only handle outliers in part or even individual …

Fault detection and isolation (FDI) techniques, which are called standard parity space
approach (SPSA) and optimal parity vector approach (OPVA), have been presented in …

In geodetic measurements some outliers may occur sometimes in data sets, depending on
different reasons. There are two main approaches to detect outliers as Tests for outliers …