Browsing by Author "Asker, Mehmet Emin"

3D residual spatial-spectral convolution network for hyperspectral remote sensing image classification

Firat, Huseyin; Asker, Mehmet Emin; Bayindir, Mehmet Ilyas; Hanbay, Davut (Springer London Ltd, 2023)

Hyperspectral remote sensing images (HRSI) are 3D image cubes that contain hundreds of spectral bands and have two spatial dimensions and one spectral dimension. HRSI analysis are commonly used in a wide variety of ...

Classification of hyperspectral remote sensing images using different dimension reduction methods with 3D/2D CNN

Fırat, Hüseyin; Asker, Mehmet Emin; Hanbay, Davut (Elsevier, 2022)

The high dimensionality of hyperspectral remote sensing images (HRSI) affects the classification performance. Therefore, most HRSI classification methods use dimension reduction methods as a solution for high dimensionality. ...

Effect on model performance of regularization methods

Budak, Cafer; Mençik, Vasfiye; Asker, Mehmet Emin (Dicle Üniversitesi Mühendislik Fakültesi, 2021)

Artificial Neural Networks with numerous parameters are tremendously powerful machine learning systems. Nonetheless, overfitting is a crucial problem in such networks. Maximizing the model accuracy and minimizing the ...

Fotovoltaik panellerde soğutma ile verim artırmanın deneysel analizi

Karaozan, Ömer (Dicle Üniversitesi, Fen Bilimleri Enstitüsü, 2022)

Fotovoltaik panelden elektrik enerjisi üretilmesi işlemi sırasında, panellerin yüzey sıcaklığı olumsuz bir etki oluşturmaktadır. Yüksek ortam sıcaklıkları ve ışıma fotovoltaik panelin aşırı ısınmasına neden olarak verimini ...

Fotovoltaik sistemlerde kullanılan klasik ve mgnt şarj kontrol cihazlarının deneysel karşılaştırılması

Ayaz, Faik Nadir (Dicle Üniversitesi, Fen Bilimleri Enstitüsü, 2024)

Solar energy, an infinite source of energy, is converted into electrical energy using photovoltaic (PV) panels. Radiation and temperature are significant factors affecting the power generated by PV panels. Increased ...

Hiperspektral görüntü sınıflandırması için derinlemesine ayrılabilir evrişim tabanlı artık ağ mimarisi

Fırat, Hüseyin; Asker, Mehmet Emin; Hanbay, Davut (Gazi Üniversitesi, 2022)

Hiperspektral uzaktan algılama görüntüleri (HUAG), yüzlerce spektral bant içeren ve iki uzamsal-bir spektral boyuta sahip 3B görüntü küpleridir. Sınıflandırma, HUAG’de en popüler konulardan biridir. Son yıllarda HUAG ...

Hybrid 3D Convolution and 2D Depthwise Separable Convolution Neural Network for Hyperspectral Image Classification

Asker, Mehmet Emin; Fırat, Hüseyin; Hanbay, Davut (2022)

Convolutional neural networks (CNNs) are one of the popular deep learning methods used to solve the hyperspectral image classification (HSIC) problem. CNN has a strong feature learning ability that can ensure more distinctive ...

Hybrid 3D/2D Complete Inception Module and Convolutional Neural Network for Hyperspectral Remote Sensing Image Classification

Firat, Huseyin; Asker, Mehmet Emin; Bayindir, Mehmet Ilyas; Hanbay, Davut (Springer, 2023)

Classification in hyperspectral remote sensing images (HRSIs) is a challenging process in image analysis and one of the most popular topics. In recent years, many methods have been proposed to solve the HRSIs classification ...

Hyperspectral image classification method based on squeeze-and-excitation networks, depthwise separable convolution and multibranch feature fusion

Asker, Mehmet Emin (Springer Science and Business Media, 2023)

Hyperspectral image classification (HSIC) is a hot topic discussed by most researchers. In recent years, deep learning and especially CNN have provided very good results in HSIC. However, there is still a need to develop ...

Learning-Based Approaches for Voltage Regulation and Control in DC Microgrids with CPL

Gungor, Mustafa; Asker, Mehmet Emin (Mdpi, 2023)

This article introduces a novel approach to voltage regulation in a DC/DC boost converter. The approach leverages two advanced control techniques, including learning-based nonlinear control. By combining the backstepping ...

Long term cloud cover and SST investigation of Mediterranean, Adriatic and Aegean seas

Kavak, Mehmet Tahir; Karayücel, Sedat; Karadoğan, Sabri (International Engineering, Science & Education Group, 2016)

One important of satellite remote sensing is the count of cloudy days of a particular region. Cloud cover hampers radiation received from the sun therefore controls Land Surface Temperature (LST), Sea Surface Temperature ...

Long term cloud cover and SST investigation of the Black Sea

Kavak, Mehmet Tahir; Karadoğan, Sabri; Karayücel, Sedat (International Engineering, Science & Education Group, 2016)

One important of satellite remote sensing is the count of cloudy days of a particular region. Cloud cover hampers radiation received from the sun therefore controls LST (land surface, SST (Sea Surface Temperature) ...

Multiscale Feature Fusion for Hyperspectral Image Classification Using Hybrid 3D-2D Depthwise Separable Convolution Networks

Firat, Hueseyin; Cig, Harun; Guellueoglu, Mehmet Tahir; Asker, Mehmet Emin; Hanbay, Davut (Int Information & Engineering Technology Assoc, 2023)

Hyperspectral remote sensing images (HRSI) comprise three-dimensional image cubes, containing a single spectral dimension alongside two spatial dimensions. HRSI are presently among the foremost essential datasets for Earth ...