Prof. Taskin Kavzoglu
Geomatics Engineering, Gebze Technical University, Turkey
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Academic Career Length
28Years (1999-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications28 February 2013 in Landslides
Journal Article
Taskin KavzogluESEmrehan Kutlug Sahin
Emrehan Kutlug Sahin
Ismail Colkesen1 October 2009 in International Journal of Applied Earth Observation and Geoinformation
Journal Article
Taskin KavzogluIsmail Colkesen17 January 2022 in Arabian Journal for Science and Engineering
Journal Article
Taskin KavzogluATAlihan Teke
Alihan Teke1 January 2003 in International Journal of Remote Sensing
Journal Article
Taskin KavzogluPMP. M. Mather
P. M. Mather
Artificial neural networks (ANNs) are used for land cover classification using remotely sensed data. Training of a neural network requires that the user specifies the network structure and sets the learning parameters. In this study, the optimum design of ANNs for classification problems is investigated. Heuristics proposed by a number of researchers to determine the optimum values of network parameters are compared using two datasets. Those heuristics that produce the highest classification accuracies are tested using two independent datasets. Comparisons are also made among the ANNs designed using optimum settings, the ANNs based on the worst performing heuristics, and the maximum likelihood classifier. Results show that the use of ANNs with the settings recommended in this study can produce higher classification accuracies than either alternative. A number of guidelines are constructed from the experiences of this study for the effective design and use of artificial neural networks in the classification of remotely sensed image data.
1 June 2015 in Engineering Geology
Journal Article
Taskin KavzogluESEmrehan Kutlug Sahin
Emrehan Kutlug Sahin
Ismail ColkesenAbout Me
Taskin Kavzoglu is a senior researcher in remote sensing with about 30 years of research experience in Earth observation and remote sensing. Since his first publication in 1998 and he has authored more than 100 papers in peer-reviewed journals and international conference proceedings. Prof. Dr. Kavzoglu received his M.Sc. in Geographical Information Systems and a Ph.D. in Remote Sensing from Nottingham University (UK). Currently, he is a full-time professor at Gebze Technical University (Turkey) . His research interests include: Earth observation, remote sensing of natural resources, climate change of wetlands, deep learning, machine learning, change detection, object-based image analysis, and landslide susceptibility mapping. He has acted as a chairman at many national and international conference and workshop sessions, has reviewed 600+ articles for international journals. He has been teaching courses related to remote sensing, geographical information systems, and computer programming, supervising students at the undergraduate and graduate levels since 2001, as well as acting as an external examiner for graduate theses for Turkish and Malaysian universities, and working in many remote sensing and geographical information science projects.