Optimization of RFM's structure based on PSO algorithm and figure condition analysis
SHA Moghaddam, M Mokhtarzade… - … and Remote Sensing …, 2018 - ieeexplore.ieee.org
Rational function model (RFM) faces difficulty in extracting accurate geometric information
from remotely sensed images, which is mainly due to the problems of overparameterization …
from remotely sensed images, which is mainly due to the problems of overparameterization …
Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization
FO de França - Genetic Programming and Evolvable Machines, 2023 - Springer
Abstract The Transformation-Interaction-Rational is a representation for symbolic regression
that limits the search space of functions to the ratio of two nonlinear functions each one …
that limits the search space of functions to the ratio of two nonlinear functions each one …
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 …
function model (RFM), known as rational polynomial coefficients (RPCs), leads to an ill …
[HTML][HTML] Optimizing land mine detection across diverse mining environments: A hyperspectral data approach with regression models
The detection of landmines, namely anti-tank mines, explosive devices, and unexploded
ordnance, is a formidable obstacle for the global community. The visible consequences of …
ordnance, is a formidable obstacle for the global community. The visible consequences of …
Optimization of RFM Problem Using Linearly Programed ℓ₁-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 …
function model (RFM), known as rational polynomial coefficients (RPCs), RFM suffers from …
Handling ill-posedness and overparameterization of rational function model using bi-objective particle swarm optimization
S Gholinejad, A Alizadeh Naeini… - Earth Observation and …, 2019 - eoge.ut.ac.ir
The existence of both ill-posedness and overparameterization phenomena in the rational
function model (RFM), makes it difficult to determine rational polynomial coefficients (RPCs) …
function model (RFM), makes it difficult to determine rational polynomial coefficients (RPCs) …
Application of PCA Analysis and QR Decomposition to Address RFM's Ill-Posedness
AA Naeini, SHA Moghaddam… - … & Remote Sensing, 2020 - ingentaconnect.com
Rational function model (RFM) is the most widely used sensor model in the remote sensing
community. However, it suffers from ill-posedness, challenging its feasibility. This problem …
community. However, it suffers from ill-posedness, challenging its feasibility. This problem …
Multi-Objective Optimization with Transformation-Interaction-Rational Representation for Symbolic Regression
FO de Franca - 2022 - researchsquare.com
Abstract The Transformation-Interaction-Rational is a representation for symbolic regression
that limits the search space of function forms to well structured functions enabling the use of …
that limits the search space of function forms to well structured functions enabling the use of …