Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[KNIHA][B] Multidimensional particle swarm optimization for machine learning and pattern recognition
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 …
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
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 …
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 …
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
This article presents the application of a hybrid classification technique of entropy
decomposition and support vector machine (EDSVM) for crop-type categorization. It takes …
decomposition and support vector machine (EDSVM) for crop-type categorization. It takes …
Particle swarm optimization
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 …
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 …
classification of urban areas. Most methods used today are based on the decomposition of …
Evolutionary RBF classifier for polarimetric SAR images
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 …
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 …
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
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 …
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
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 …
classification problem. Each rule in our proposed system can represent more than one class …