[KNIHA][B] Multidimensional particle swarm optimization for machine learning and pattern recognition

S Kiranyaz, T Ince, M Gabbouj - 2014 - Springer
The definition of success—To laugh much; to win respect of intelligent persons and the
affections of children; to earn the approbation of honest critics and endure the betrayal of …

Comparative analysis of artificial neural network and XGBoost algorithm for PolSAR image classification

N Memon, SB Patel, DP Patel - International conference on pattern …, 2019 - Springer
Image classification has become an important area of research in remote sensing. In this
paper, the algorithms Artificial Neural Network (ANN) and Extreme Gradient Boosting …

River channel segmentation in polarimetric SAR images: Watershed transform combined with average contrast maximisation

M Ciecholewski - Expert Systems with Applications, 2017 - Elsevier
This publication presents a computer method allowing river channels to be segmented
based on SAR polarimetric images. Solutions have been proposed which are based on a …

Agricultural crop-type classification of multi-polarization SAR images using a hybrid entropy decomposition and support vector machine technique

CP Tan, HT Ewe, HT Chuah - International Journal of Remote …, 2011 - Taylor & Francis
This article presents the application of a hybrid classification technique of entropy
decomposition and support vector machine (EDSVM) for crop-type categorization. It takes …

Particle swarm optimization

S Kiranyaz, T Ince, M Gabbouj, S Kiranyaz… - … swarm optimization for …, 2014 - Springer
The behavior of a single organism in a swarm is often insignificant, but their collective and
social behavior is of paramount importance. The particle swarm optimization (PSO) was …

[HTML][HTML] Effects on the double bounce detection in urban areas based on SAR polarimetric characteristics

JM Delgado Blasco, M Fitrzyk, J Patruno… - Remote Sensing, 2020 - mdpi.com
Synthetic Aperture Radar (SAR) polarimetric datasets are widely used in the detection and
classification of urban areas. Most methods used today are based on the decomposition of …

Evolutionary RBF classifier for polarimetric SAR images

T Ince, S Kiranyaz, M Gabbouj - Expert Systems with Applications, 2012 - Elsevier
In this paper, a robust radial basis function (RBF) network based classifier is proposed for
polarimetric synthetic aperture radar (SAR) images. The proposed feature extraction process …

Unsupervised classification of polarimetric SAR image with dynamic clustering: An image processing approach

T Ince - Advances in Engineering Software, 2010 - Elsevier
This paper proposes a new unsupervised classification approach for automatic analysis of
polarimetric synthetic aperture radar (SAR) image. Classification of the information in multi …

Collective network of binary classifier framework for polarimetric SAR image classification: An evolutionary approach

S Kiranyaz, T Ince, S Uhlmann… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Terrain classification over polarimetric synthetic aperture radar (SAR) images has been an
active research field where several features and classifiers have been proposed up to date …

A combination of positive and negative fuzzy rules for image classification problem

TM Nguyen, QMJ Wu - 2008 Seventh International Conference …, 2008 - ieeexplore.ieee.org
In this paper, we propose a new fuzzy rule-based system for application in image
classification problem. Each rule in our proposed system can represent more than one class …