Pınar Karakuş profile image
Pınar Karakuş Asst. Prof. Dr. OSMANİYE KORKUT ATA ÜNİVERSİTESİ
Publication 6 Review 26 CrossRef Cited 17
6 Publication
26 Review
17 CrossRef Cited
0000-0003-3727-7233

Research Fields

Engineering Photogrametry Photogrammetry and Remote Sensing Remote Sensing

Institution

OSMANİYE KORKUT ATA ÜNİVERSİTESİ

Popular Publications

Object Based Classification in Google Earth Engine Combining SNIC and Machine Learning Methods (Case Study: Lake Köyceğiz)
Authors: Pınar Karakuş
Published: 2024 , Turkish Journal of Remote Sensing and GIS
DOI: 10.48123/rsgis.1411380
CITED 0 FAVORITE 1 TOTAL DOWNLOAD COUNT 289

0

1

289

Publications

Object Based Classification in Google Earth Engine Combining SNIC and Machine Learning Methods (Case Study: Lake Köyceğiz)
Authors: Pınar Karakuş
Published: 2024 , Turkish Journal of Remote Sensing and GIS
DOI: 10.48123/rsgis.1411380
FAVORITE 1 TOTAL DOWNLOAD COUNT 289

1

289

MACHINE WHELL EDGE DETECTION MORPHOLOGICAL OPERATIONS
Authors: Pınar Karakuş
Published: 2024 , Konya Journal of Engineering Sciences
DOI: 10.36306/konjes.1418523
FAVORITE 0 TOTAL DOWNLOAD COUNT 203

0

203

Investigation of Prediction Performance of Compressibility of Mg Alloys with ANFIS Model
Authors: Demet Zalaoğlu , Pinar Karakus
Published: 2022 , Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi
DOI: 10.35414/akufemubid.1099381
FAVORITE 0 TOTAL DOWNLOAD COUNT 435

0

435

The Availability of Edge Detection Algorithms in Machinability
Authors: Demet Zalaoğlu , Pinar Karakus
Published: 2022 , Osmaniye Korkut Ata University Journal of the Institute of Science and Technology
DOI: 10.47495/okufbed.1064594
FAVORITE 0 TOTAL DOWNLOAD COUNT 349

0

349

Crop Cover Fraction Estimation Based On Digital Images from 2014-2016: A Case Study of Kadirli in Osmaniye Province
Authors: Pinar Karakus , Hakan Karabörk
Published: 2020 , Turkish Journal of Remote Sensing
DOI: -
FAVORITE 0 TOTAL DOWNLOAD COUNT 380

0

380

A comparison of the classification accuracies in determining the land cover of Kadirli region of Turkey by using the pixel based and object based classification algorithms
Authors: Pınar Karakuş , Hakan Karabork, Sinasi Kaya
Published: 2017 , International Journal of Engineering and Geosciences
DOI: 10.26833/ijeg.298951
FAVORITE 0 TOTAL DOWNLOAD COUNT 1316

0

1316

Articles published in
Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi
Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi
International Journal of Engineering and Geosciences
International Journal of Engineering and Geosciences
Konya Journal of Engineering Sciences
Konya Journal of Engineering Sciences
Osmaniye Korkut Ata University Journal of the Institute of Science and Technology
Osmaniye Korkut Ata University Journal of the Institute of Science and Technology
Turkish Journal of Remote Sensing and GIS
Turkish Journal of Remote Sensing and GIS
Turkish Journal of Remote Sensing
Turkish Journal of Remote Sensing
Editorial Board Memberships
Turkish Journal of Remote Sensing
Turkish Journal of Remote Sensing

Reviews

Geomatik
Geomatik
Gümüşhane University Journal of Science and Technology
Gümüşhane University Journal of Science and Technology
International Journal of Engineering and Geosciences
International Journal of Engineering and Geosciences
Konya Journal of Engineering Sciences
Konya Journal of Engineering Sciences
Osmaniye Korkut Ata University Journal of the Institute of Science and Technology
Osmaniye Korkut Ata University Journal of the Institute of Science and Technology
Turkish Journal of Geographic Information Systems
Turkish Journal of Geographic Information Systems
Turkish Journal of Geosciences
Turkish Journal of Geosciences
Turkish Journal of Remote Sensing
Turkish Journal of Remote Sensing

Publications

A comparison of the classification accuracies in determining the land cover of Kadirli region of Turkey by using the pixel based and object based classification algorithms
Authors: Pınar Karakuş , Hakan Karabork, Sinasi Kaya
Published: 2017 , International Journal of Engineering and Geosciences
DOI: 10.26833/ijeg.298951
CITED 17 FAVORITE 0 TOTAL DOWNLOAD COUNT 1316

17

0

1316

Popular Publications: It is determined automatically by the researchers doing research in DergiPark according to the statistics of being added to the favorites. CrossRef Cited: The citations shown in DergiPark are drawn from CrossRef. For this, the cited and cited articles must be registered in CrossRef (DOI number). ^: Citation numbers are reflected in the system by DergiPark at certain periods.
Interactive Guide Tool
If you want to see the panel introduction, you can click Start Tour.