Browsing by Author "Acar, Emrullah"

Automatic determination of different soil types via several machine learning algorithms employing radarsat-2 SAR image polarization coefficients

Acar, Emrullah; Özerdem, Mehmet Siraç (Springer, 2022)

Synthetic aperture radar (SAR), which is one of the most popular remote sensing technologies, has been extensively employed for classification of various soil types, soil texture description, and its mapping. Determining ...

CLASSIFICATION OF AGRESSIVE ACTION EMG SIGNALS BY AR BASED K-NN METHOD

Acar, Emrullah; Ozerdem, Mehmet Sirac (Ieee, 2014)

The fields of EMG signal processing technology has been effective in the application of prosthetic control and clinical medicine or sport science. The main purpose of this study is to classify two aggressive action EMG ...

Comparison of NDVI and RVI Vegetation Indices Using Satellite Images

Gonenc, Abdurrahman; Ozerdem, Mehmet Sirac; Acar, Emrullah (Ieee, 2019)

Remote Sensing is the acquisition of information about its physical properties without direct contact with an object. This information is obtained through sensors. These sensors do not come into contact with objects. There ...

Dicle Nehri Havzasında Toprak Nem Ölçümleri ile Radar Imgeleri Arasındaki Iliskiyi Saptama ve Bu Iliskiye Dayalı Toprak Neminin Tahmini

Acar, Emrullah; Üstündağ, Burak Berk; Özerdem, Mehmet Siraç; Ekinci, Remzi (2018)

Uzaktan algılama teknolojisi; yeryüzündeki arazi kullanımlarının tespiti, arazilerdeki hızlı degisimlerin izlenmesi amacıyla anlık kayıtlarının alınması, dogal kaynakların saptanması gibi birçok alanda kullanılmaktadır. ...

Dicle nehri havzasında toprak nem ölçümleri ile SAR imgeleri arasındaki ilişkiyi saptama ve bu ilişkiye dayalı toprak neminin tahmini

Acar, Emrullah (2017)

Uzaktan algılama teknolojisi; yeryüzündeki arazi kullanımlarının tespiti, arazilerdeki hızlı değişimlerin izlenmesi amacıyla anlık kayıtlarının alınması, doğal kaynakların saptanması gibi birçok alanda kullanılmaktadır. ...

The electricity price prediction of victoria city based on various regression algorithms

Örenç, Sedat; Acar, Emrullah; Özerdem, Mehmet Siraç (Institute of Electrical and Electronics Engineers Inc., 2022)

Precise electricity price prediction is extremely important for all markets especially for families' life conditions because the more demand the more electricity price increases, therefore it is vital to keep the balance ...

An Iris Recognition System by Laws Texture Energy Measure Based k-NN Classifier

Acar, Emrullah; Ozerdem, Mehmet Sirac (Ieee, 2013)

Biometric recognition technology is correlated generally with very expensive top secure applications. Iris recognition system is one of the effective biometric recognition systems. The main purpose of this study is to ...

Kızılltepe tarımsal alan i̇mgeleri̇ni̇n Gabor Dalgacık Dönüşümü i̇le sınıflandırılması

Acar, Emrullah; Özerdem, Mehmet Siraç (2012)

In this research, images of Kiziltepe (Mardin) agricultural land are classified based on development in different period of crops (1-sowing term, 2-little ripe term, 3-ripe term and 4-harvest term). The digital crop images ...

Laws doku enerji ölçümü tabanlı k-NN sınıflandırıcı modeli ile iris tanıma sistemi

Acar, Emrullah; Özerdem, Mehmet Siraç (2013)

Biometric recognition technology is correlated generally with very expensive top secure applications. Iris recognition system is one of the effective biometric recognition systems. The main purpose of this study is to ...

Machine Learning based Regression Model for Prediction of Soil Surface Humidity over Moderately Vegetated Fields

Acar, Emrullah; Ozerdem, Mehmet Sirac; Ustundag, Burak Berk (Ieee, 2019)

The soil surface humidity parameter over vegetated fields is of great importance for controlling water consumption; prevention of salinity caused by over-irrigation; efficient use of irrigation system and improving the ...

On a yearly basis prediction of soil water content utilizing sar data: A machine learning and feature selection approach

Acar, Emrullah; Özerdem, Mehmet Siraç (Turkiye Klinikleri, 2020)

Soil water content (SWC) performs an important role in many areas including agriculture, drought cases, usage of water resources, hydrology, crop diseases and aerology. However, the measurement of the SWC over large terrains ...

Saldırgan hareketlerine ilişkin EMG işaretlerinin AR tabanlı k-NN ile sınıflandırılması

Acar, Emrullah; Özerdem, Mehmet Siraç (IEEE Computer Society, 2014)

The fields of EMG signal processing technology has been effective in the application of prosthetic control and clinical medicine or sport science. The main purpose of this study is to classify two aggressive action EMG ...

Soil moisture estimation over vegetated agricultural areas: Tigris Basin, Turkey from Radarsat-2 data by polarimetric decomposition models and a generalized regression neural network

Özerdem, Mehmet Siraç; Acar, Emrullah; Ekinci, Remzi (MDPI, 2017)

Determining the soil moisture in agricultural fields is a significant parameter to use irrigation systems efficiently. In contrast to standard soil moisture measurements, good results might be acquired in a shorter time ...

Soil moisture inversion via semiempirical and machine learning methods with full-polarization radarsat-2 and polarimetric target decomposition data: A comparative study

Acar, Hüseyin; Özerdem, Mehmet Siraç; Acar, Emrullah (Institute of Electrical and Electronics Engineers Inc., 2020)

In this article, surface soil moisture was retrieved from Radarsat-2 and polarimetric target decomposition data by using semiempirical models and machine learning methods. The semiempirical models and machine learning ...

The Texture Feature Extraction of Mardin Agricultural Field Images by HOG Algorithms and Soil Moisture Estimation based on the Image Textures

Acar, Emrullah; Ozerdem, Mehmet Sirac (Ieee, 2015)

Knowing the soil surface moisture values of agricultural land will allow to determine disease risks in the soils and wet and dry farming. The main purpose of this study is that determining a relationship between measurements ...