ABSTRACT The popularity of Artificial Neural Network (ANN) methodology has been
growing in a wide variety of areas in geodesy and geospatial sciences. Its ability to perform …

The standard forward transformation for the direct conversion of curvilinear geodetic
coordinates (φ, γ, Η) to its associated Cartesian coordinates (E, N, Z) has become a major …

This study evaluated different methods for geoid undulation prediction and included two
types of artificial neural networks (ANNs)-the radial basis function neural network (RBFNN) …

In coordinate transformation, the main purpose is to provide a mathematical relationship
between coordinates related to different geodetic reference frames. This gives the …

Coordinate transformation facilitates the integration of geodetic coordinates of points
obtained from different sources into a common geodetic reference frame. In existing studies …

This study seeks to conduct an empirical evaluation of the performances of two soft
computing methodologies comprising the Levenberg-Marquardt Back Propagation Artificial …

This thesis is a study of methods of transforming coordinates between geodetic datums, the
methods being generally known as datum transformations. Direct methods are described …

Coordinate transformation is still an on-going research area in the geodetic sciences. It
allow coordinates to be transformed from a source datum onto a target datum and vice versa …

The transformation of coordinates between different geodetic datums has been a common
practice within the geospatial profession. Relating different geodetic datums mostly involves …

Since the beginning of planet Earth, volcanic activity has generated a series of events of
great destructive capacity. Many populations located in areas close to volcanoes coexist …