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Sparsity-Driven Change Detection in Multitemporal SAR Images
(2016)
In this letter, a method for detecting changes in multitemporal synthetic aperture radar (SAR) images by minimizing a novel cost function is proposed. This cost function is constructed with log-ratio-based data fidelity ...
Journal Finder for TRDIZIN: Baseline Study
(2021)
One of the main steps in publication of a paper is finding a related journal for the work of the researchers. In the recent years, there have been an increase in scientific papers publications. This situation leads the ...
Parallelization of Sparsity-driven Change Detection Method
(2017)
In this study, Sparsity-driven Change Detection (SDCD) method, which has been proposed for detecting changes in multitemporal synthetic aperture radar (SAR) images, is parallelized to reduce the execution time. Parallelization ...
Fast Target Detection in Radar Images Using Rayleigh Mixtures And Summed Area Tables
(2018)
As the first step of automatic image interpretation systems, automatic detection of targets should be accurate and fast. For Synthetic Aperture Radar (SAR) images, Constant False Alarm Rate (CFAR) is the most popular ...
Sparsity-driven weighted ensemble classifier
(2018)
In this study, a novel sparsity-driven weighted ensemble classifier (SDWEC) that improves classification accuracy and minimizes the number of classifiers is proposed. Using pre-trained classifiers, an ensemble in which ...
RmSAT-CFAR: Fast and accurate target detection in radar images
(2018)
As the first step of automatic image interpretation systems, automatic detection of the targets should be accurate and fast. Constant False Alarm Rate (CFAR) is the most popular target detection framework for Synthetic ...
Feature selection and multiple classifier fusion using genetic algorithms in intrusion detection systems
(2018)
With the improvements in information systems, intrusion detection systems (IDS) become more important. IDS can be thought as a classification problem. An important step of classification applications is feature selection ...
A Systematic Review of Transfer Learning-Based Approaches for Diabetic Retinopathy Detection
(2023)
Diabetic retinopathy, which is extreme visual blindness due to diabetes, has become an alarming issue worldwide. Early and accurate detection of DR is necessary to prevent the progression and reduce the risk of blindness. ...