GDAL and PROJ libraries integrated with grass GIS for terrain modelling of the georeferenced raster image
P Lemenkova, O Debeir - Technologies, 2023 - mdpi.com
Libraries with pre-written codes optimize the workflow in cartography and reduce labour
intensive data processing by iteratively applying scripts to implementing mapping tasks …
intensive data processing by iteratively applying scripts to implementing mapping tasks …
[PDF][PDF] Classification of Sentinel-2 satellite imagery in Iran for geological purposes using deep convolutional neural networks: a case study for soil type identification
M Kiani - Second International Congress on Science and …, 2020 - researchgate.net
In this paper, Sentinel-2 satellite imagery is used for the classification of different soil types
using the method of deep convolutional neural networks. Role of the presence of different …
using the method of deep convolutional neural networks. Role of the presence of different …
[PDF][PDF] On GNSS residual position time series prediction and analysis using radial basis function networks machine learning
M Kiani - Second international conference on Development of …, 2020 - researchgate.net
In this paper, the method of radial basis function machine learning is employed to analyze
and predict the GNSS residual position time series. Based on four different types of radial …
and predict the GNSS residual position time series. Based on four different types of radial …
Applications of numerical integration in geodesy and geophysics: Analysis of one-dimensional methods and presenting two-dimensional spherical splines numerical …
M Kiani Shahvandi - Acta Geophysica, 2021 - Springer
In this paper, two applications of numerical integration in geodesy and geophysics are
presented. In the first application, the Molodenskij truncation coefficients for the Abel …
presented. In the first application, the Molodenskij truncation coefficients for the Abel …
[PDF][PDF] Accuracy assessment of crop classification in hyperspectral imagery using very deep convolutional neural networks
M Kiani - Second International Congress on Science and …, 2020 - researchgate.net
We focus on a study in which crops in the hyperspectral imagery are classified using very
deep convolutional neural networks. A case study is presented for the 125-band …
deep convolutional neural networks. A case study is presented for the 125-band …