most citedOn the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics

6 citations · 11 across the 3 of their papers we have counts for

collaborators

6 papers

physics.geo-ph2020

Possibility of Land Movement Prediction for Creep or before Earthquake Using Lidar Geodetic Data in a Machine Learning Scheme

M. Kiani

Earthquake prediction is one of the most pursued problems in geoscience. Different geological and seismological approaches exist for the prediction of the earthquake and its subseq…

eess.SP20206 cited

On the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics

M. Kiani

In this paper, the generalized regression neural network is used to predict the GNSS position time series. Using the IGS 24-hour final solution data for Bad Hamburg permanent GNSS…

math.NA20205 cited

Comparison between compactly-supported spherical radial basis functions and interpolating moving least squares meshless interpolants for gravity data interpolation in geodesy and geophysics

M. Kiani

The present paper is focused on the comparison of the efficiency of two important meshless interpolants for gravity acceleration interpolation. Compactly-supported spherical radial…

physics.geo-ph2020

Image Gravimetry: A New Remote Sensing Approach for Gravity Analysis in Geophysics

M. Kiani

In this paper a new Geophysical gravimetry approach is presented, which is based on satellite imagery in remote sensing. The method uses a satellite image, together with a set of p…

cs.CV2020

Optimal Image Smoothing and Its Applications in Anomaly Detection in Remote Sensing

M. Kiani

This paper is focused on deriving an optimal image smoother. The optimization is done through the minimization of the norm of the Laplace operator in the image coordinate system. D…

eess.IV2020

Identification and Classification of Phenomena in Multispectral Satellite Imagery Using a New Image Smoother Method and its Applications in Environmental Remote Sensing

M. Kiani

In this paper a new method of image smoothing for satellite imagery and its applications in environmental remote sensing are presented. This method is based on the global gradient…