PSO, a swarm intelligence-based evolutionary algorithm as a decision-making strategy: A review

DD Ramírez-Ochoa, LA Pérez-Domínguez… - Symmetry, 2022 - mdpi.com
Companies are constantly changing in their organization and the way they treat information.
In this sense, relevant data analysis processes arise for decision makers. Similarly, to …

[HTML][HTML] A feature extraction method based on spectral segmentation and integration of hyperspectral images

SHA Moghaddam, M Mokhtarzade… - International Journal of …, 2020 - Elsevier
In response to the curse of dimensionality in hyperspectral images (HSIs), to date, numerous
dimensionality reduction methods have been proposed among which the feature extraction …

Robust particle swarm optimization of RFMs for high-resolution satellite images based on k-fold cross-validation

S Gholinejad, AA Naeini… - IEEE Journal of …, 2018 - ieeexplore.ieee.org
Rational function model (RFM) is one of the most popular methods of geometrically
correcting high-resolution satellite images (HRSIs). This model encounters …

Facilities layout design optimization of production workshop based on the improved PSO algorithm

L Xu, B Xu, J Su - IEEE Access, 2024 - ieeexplore.ieee.org
The facility layout of the production workshop primarily focuses on the layout planning of
production equipment to reduce material handling costs within the workshop. With the …

Optimal decision for the satellite navigation system under navigation countermeasures based on spoofing effect evaluation results

Y Wang, FP Sun, X Wang - IET Control Theory & Applications, 2023 - Wiley Online Library
This paper realizes the evaluation and optimal decision of the spoofing effect on the global
navigation satellite system (GNSS) under navigation countermeasures based on the game …

[HTML][HTML] Rational Polynomial Coefficient Estimation via Adaptive Sparse PCA-Based Method

T Yan, Y Wang, P Wang - Remote Sensing, 2024 - mdpi.com
The Rational Function Model (RFM) is composed of numerous highly correlated Rational
Polynomial Coefficients (RPCs), establishing a mathematical relationship between two …

An automated PCA-based approach towards optimization of the rational function model

S Gholinejad, A Amiri-Simkooei… - ISPRS Journal of …, 2020 - Elsevier
The existence of several unnecessary and highly correlated coefficients in the rational
function model (RFM), known as rational polynomial coefficients (RPCs), leads to an ill …

A Hybrid particle swarm optimization of the rational function model for satellite strip images ortho-rectification

O Mezouar, F Meskine, I Boukerch… - International Journal of …, 2021 - Taylor & Francis
The rational function model (RFM) is widely used for high-resolution satellite imagery
allowing its use in GIS and remote sensing applications. RFM can be seen as a non …

Optimization of RFM Problem Using Linearly Programed ₁-Regularization

S Gholinejad, AA Naeini… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Due to the existence of a large number of highly correlated parameters in the rational
function model (RFM), known as rational polynomial coefficients (RPCs), RFM suffers from …

Building extraction from high-resolution remote sensing images based on GrabCut with automatic selection of foreground and background samples

K Zhang, H Chen, W Xiao, Y Sheng… - … & Remote Sensing, 2020 - ingentaconnect.com
This article proposes a new building extraction method from high-resolution remote sensing
images, based on GrabCut, which can automatically select foreground and background …