Hyperspectral image classification using a hybrid 3D-2D convolutional neural networks

S Ghaderizadeh, D Abbasi-Moghadam… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Due to the unique feature of the three-dimensional convolution neural network, it is used in
image classification. There are some problems such as noise, lack of labeled samples, the …

Yield prediction with machine learning algorithms and satellite images

A Sharifi - Journal of the Science of Food and Agriculture, 2021 - Wiley Online Library
BACKGROUND Barley is one of the strategic agricultural products available in the world,
and yield prediction is important for ensuring food security. One way of estimating a product …

[HTML][HTML] Evaluation of vegetation indices and phenological metrics using time-series modis data for monitoring vegetation change in Punjab, Pakistan

P Hu, A Sharifi, MN Tahir, A Tariq, L Zhang, F Mumtaz… - Water, 2021 - mdpi.com
In arid and semi-arid regions, it is essential to monitor the spatiotemporal variability and
dynamics of vegetation. Among other provinces of Pakistan, Punjab has produced a …

Development of a method for flood detection based on Sentinel‐1 images and classifier algorithms

A Sharifi - Water and Environment Journal, 2021 - Wiley Online Library
Floods are one of the most devastating natural disasters in the world, displacing millions of
people each year and causing severe damage to people's lives and infrastructure. It is the …

Estimation of forest biomass using multivariate relevance vector regression

A Sharifi, J Amini, R Tateishi - Photogrammetric Engineering & …, 2016 - ingentaconnect.com
The objective of this study is to develop a method based on multivariate relevance vector
regression (MVRVR) as a kernel-based Bayesian model for the estimation of above-ground …

Forest biomass estimation using synthetic aperture radar polarimetric features

A Sharifi, J Amini - Journal of Applied Remote Sensing, 2015 - spiedigitallibrary.org
Polarimetric synthetic aperture radar (POLSAR) images have many applications in forest
studies, especially for biomass estimation. An algorithm was proposed to extract optimized …

Evaluation of convolutional neural networks for urban mapping using satellite images

M Mohammadi, A Sharifi - Journal of the Indian Society of Remote …, 2021 - Springer
Very high resolution (VHR) satellite imagery and image processing algorithms allow for the
development of remote sensing applications including multi-temporal classification, tracking …

Assessment of rock geomechanical properties and estimation of wave velocities

S Guo, Y Zhang, A Iraji, H Gharavi, AF Deifalla - Acta Geophysica, 2023 - Springer
Wave velocity is used to determine rock material, porosity, degree of petrification, fluid type,
and mechanical and behavioral properties. In this study, after assessing the relationship …

Application of soft computing and statistical methods to predict rock mass permeability

SM Alizadeh, A Iraji - Soft Computing, 2023 - Springer
Permeability is one of the important issues that must be considered in the investigation of
dam sites. Determination of this parameter in the boreholes is time-consuming, costly, and in …

Allometric Models and Biomass Conversion and Expansion Factors to Predict Total Tree-level Aboveground Biomass for Three Conifers Species in Iran

H Ali, J Mohammadi, S Shataee Jouibary - Forest Science, 2023 - academic.oup.com
Accurate estimation of total aboveground biomass (TAGB) is an important challenge in
evaluating and monitoring tree biomass. Thus, developing species-specific allometric …