T. Kavzoglu

发表

An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district

T. Kavzoglu, E. Kutlug Sahin, I. Colkesen, 2015, Natural Hazards.

Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela

T. Kavzoglu, H. Gómez, 2005 .

Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression

T. Kavzoglu, I. Colkesen, E. Sahin, 2014, Landslides.

OBJECT- BASED LAND USE/LAND COVER CHANGE DETECTION USING SPATIO -TEMPORAL IMAGES – A CASE STUDY IN METROPOLITAN CITY OF ISTANBUL, TURKEY

T. Kavzoglu, E. Ö. Yilmaz, H. Tonbul, 2019 .

Simulating Landsat ETM+ imagery using DAIS 7915 hyperspectral scanner data

Taskin Kavzoglu, T. Kavzoglu, 2004 .

Susceptibility mapping of shallow landslides using kernel-based Gaussian process, support vector machines and logistic regression

T. Kavzoglu, I. Colkesen, E. Sahin, 2016 .

Ensemble-based canonical correlation forest (CCF) for land use and land cover classification using sentinel-2 and Landsat OLI imagery

T. Kavzoglu, I. Colkesen, 2017 .

Selecting optimal conditioning factors in shallow translational landslide susceptibility mapping using genetic algorithm

T. Kavzoglu, I. Colkesen, E. Sahin, 2015 .

Using multitemporal, multispectral and multisource remotely sensed data to classify crops : An innovative approximation

T. Kavzoglu, C. Vieira, 1998 .

Detection of Burn Area and Severity with MODIS Satellite Images and Spatial Autocorrelation Techniques

T. Kavzoglu, H. Tonbul, S. Kaya, 2014 .

Investigation of automatic feature weighting methods (Fisher, Chi-square and Relief-F) for landslide susceptibility mapping

Taskin Kavzoglu, Cengizhan Ipbuker, T. Kavzoglu, 2017 .

A comparative assessment of canonical correlation forest, random forest, rotation forest and logistic regression methods for landslide susceptibility mapping

T. Kavzoglu, I. Colkesen, E. Sahin, 2018, Geocarto International.

Advanced hyperparameter optimization for improved spatial prediction of shallow landslides using extreme gradient boosting (XGBoost)

T. Kavzoglu, Alihan Teke, A. Teke, 2022, Bulletin of Engineering Geology and the Environment.

Extraction of Field Boundary Information from Classified Satellite Images

T. Kavzoglu, P. Mather, J. Jaafar, 2000 .

ASSESSMENT OF FIRE SEVERITY AND POST-FIRE REGENERATION BASED ON TOPOGRAPHICAL FEATURES USING MULTITEMPORAL LANDSAT IMAGERY: A CASE STUDY in MERSIN, TURKEY

T. Kavzoglu, S. Kaya, H. Tonbul, 2016 .

Analysis of patch and sample size effects for 2D-3D CNN models using multiplatform dataset: hyperspectral image classification of ROSIS and Jilin-1 GP01 imagery

T. Kavzoglu, E. Ö. Yilmaz, 2022, Turkish J. Electr. Eng. Comput. Sci..

Extraction of field boundary information: using satellite images classified by artificial neural networks.

T. Kavzoglu, P. Mather, J. Jaafar, 2001 .

Multi-Seasonal Evaluation of Hybrid Poplar (P. Deltoides) Plantations Using Worldview-3 Imagery and State-Of-The-Art Ensemble Learning Algorithms

T. Kavzoglu, I. Colkesen, H. Tonbul, 2022, Advances in Space Research.

Poplar Tree Index (PTI): A New Vegetation Index for Monitoring Poplar Cultivated Areas

T. Kavzoglu, I. Colkesen, E. Ö. Yilmaz, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

EVALUATION OF ATMOSPHERIC CORRECTION METHODS FOR SENTINEL-2 IMAGERY IN THE SPECTRAL IDENTIFICATION OF POPLAR ( POPULUS DELTOIDES BARTR.) SPECIES

T. Kavzoglu, I. Colkesen, H. Tonbul, 2021 .

A kernel functions analysis for support vector machines for land cover classification

Taskin Kavzoglu, Ismail Colkesen, T. Kavzoglu, 2009, Int. J. Appl. Earth Obs. Geoinformation.

An assessment of the effectiveness of a rotation forest ensemble for land-use and land-cover mapping

Taskin Kavzoglu, Ismail Colkesen, T. Kavzoglu, 2013 .

The use of logistic model tree (LMT) for pixel- and object-based classifications using high-resolution WorldView-2 imagery

Taskin Kavzoglu, Ismail Colkesen, T. Kavzoglu, 2017 .

Automated mucilage extraction index (AMEI): a novel spectral water index for identifying marine mucilage formations from Sentinel-2 imagery

T. Kavzoglu, I. Colkesen, U. Sefercik, 2023, International Journal of Remote Sensing.

The Use of Object-Based Image Analysis for Monitoring 2021 Marine Mucilage Bloom in the Sea of Marmara

T. Kavzoglu, I. Colkesen, H. Tonbul, 2021, International Journal of Environment and Geoinformatics.

A REGION-BASED MULTI-SCALE APPROACH FOR OBJECT-BASED IMAGE ANALYSIS

Taskin Kavzoglu, Hasan Tonbul, T. Kavzoglu, 2016 .

Parameter-Based Performance Analysis of Object-Based Image Analysis Using Aerial and Quikbird-2 Images

T. Kavzoglu, M. Yildiz, T. Kavzoglu, 2014 .

The use of backpropagating artificial neural networks in land cover classification

Paul M. Mather, Taskin Kavzoglu, T. Kavzoglu, 2003 .

Determination of Environmental Degradation Due to Urbanization and Industrialization in Gebze, Turkey

T. Kavzoglu, Taşkın Kavzoǧlu, 2008 .

Object-based classification with rotation forest ensemble learning algorithm using very-high-resolution WorldView-2 image

Taskin Kavzoglu, Ismail Colkesen, Tahsin Yomralioglu, 2015 .

Google Earth Engine for Monitoring Marine Mucilage: Izmit Bay in Spring 2021

T. Kavzoglu, Merve Goral, 2022, Hydrology.

Daily monitoring of marine mucilage using the MODIS products: a case study of 2021 mucilage bloom in the Sea of Marmara, Turkey

T. Kavzoglu, I. Colkesen, A. Yagci, 2022, Environmental Monitoring and Assessment.

Shared Blocks-Based Ensemble Deep Learning for Shallow Landslide Susceptibility Mapping

Taskin Kavzoglu, Alihan Teke, Elif Ozlem Yilmaz, 2021, Remote. Sens..

Creation of a Virtual Tour .Exe Utilizing Very High-Resolution RGB UAV Data

T. Kavzoglu, C. Atalay, U. Sefercik, 2022, International Journal of Environment and Geoinformatics.

A Spectral Band Based Comparison of Unsupervised Segmentation Evaluation Methods for Image Segmentation Parameter Optimization

Taskin Kavzoglu, H. Tonbul, T. Kavzoglu, 2020 .

An experimental comparison of multi-resolution segmentation, SLIC and K-means clustering for object-based classification of VHR imagery

Taskin Kavzoglu, Hasan Tonbul, T. Kavzoglu, 2018, International Journal of Remote Sensing.

Increasing the accuracy of neural network classification using refined training data

Taskin Kavzoglu, T. Kavzoglu, 2009, Environ. Model. Softw..

Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost)

T. Kavzoglu, Alihan Teke, A. Teke, 2022, Arabian Journal for Science and Engineering.

A comparative study of segmentation quality for multi-resolution segmentation and watershed transform

Taskin Kavzoglu, Hasan Tonbul, T. Kavzoglu, 2017, 2017 8th International Conference on Recent Advances in Space Technologies (RAST).

Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost)

T. Kavzoglu, Alihan Teke, 2022, Arabian Journal for Science and Engineering.

Machine Learning Techniques in Landslide Susceptibility Mapping: A Survey and a Case Study

Taskin Kavzoglu, Ismail Colkesen, Emrehan Kutlug Sahin, 2018, Landslides: Theory, Practice and Modelling.

Object-Oriented Random Forest for High Resolution Land Cover Mapping Using Quickbird-2 Imagery

Taskin Kavzoglu, T. Kavzoglu, 2017 .

Selection of Optimal Object Features in Object-Based Image Analysis Using Filter-Based Algorithms

Taskin Kavzoglu, Ismail Colkesen, T. Kavzoglu, 2018, Journal of the Indian Society of Remote Sensing.

Performance Analysis of Maximum Likelihood and Artificial Neural Network Classifiers for Training Sets with Mixed Pixels

Taskin Kavzoglu, Selçuk Reis, T. Kavzoglu, 2008 .

Modelling local GPS/levelling geoid undulations using artificial neural networks

Taskin Kavzoglu, M. H. Saka, T. Kavzoglu, 2005 .

Effects of auxiliary and ancillary data on LULC classification in a heterogeneous environment using optimized random forest algorithm

T. Kavzoglu, Furkan Bilucan, 2022, Earth Science Informatics.

Design of Feedforward Neural Networks in the Classification of Hyperspectral Imagery Using Superstructural Optimization

Taskin Kavzoglu, Erdal Aydin, Hasan Sildir, 2020, Remote. Sens..

The role of feature selection in artificial neural network applications

Paul M. Mather, Taskin Kavzoglu, T. Kavzoglu, 2002 .

Pixel- and Object-Based Ensemble Learning for Forest Burn Severity Using USGS FIREMON and Mediterranean Condition dNBRs in Aegean Ecosystem (Turkey)

T. Kavzoglu, I. Colkesen, H. Tonbul, 2022, Advances in Space Research.

Dimensionality Reduction and Classification of Hyperspectral Images Using Object-Based Image Analysis

Taskin Kavzoglu, Hasan Tonbul, Ismail Colkesen, 2018, Journal of the Indian Society of Remote Sensing.

Ensemble Conditioning Factor Selection with Markov Chain Framework for Shallow Landslide Susceptibility Mapping in Lake Sapanca Basin and its Vicinity, Turkey

T. Kavzoglu, Alihan Teke, 2022, Balt. J. Mod. Comput..

Comparative Evaluation of Decision-Forest Algorithms in Object-Based Land Use and Land Cover Mapping

Taskin Kavzoglu, Ismail Colkesen, T. Kavzoglu, 2019, Spatial Modeling in GIS and R for Earth and Environmental Sciences.

The Use of Feature Selection Techniques in the Context of Artificial Neural Networks

Paul M. Mather, Taskin Kavzoglu, T. Kavzoglu, 2000 .

Erratum: Simulating Landsat ETM+ imagery using DAIS 7915 hyperspectral scanner data

T. Kavzoglu, T. Kavzoglu, 2004 .

A Comparison of Feature and Expert-based Weighting Algorithms in Landslide Susceptibility Mapping☆

Taskin Kavzoglu, Emrehan Kutlug Sahin, Cengizhan Ipbuker, 2015 .

Evaluating performances of spectral indices for burned area mapping using object-based image analysis

T. Kavzoglu, H. Tonbul, M. Y. Erdemir, 2016 .

Construction and implementation of a poplar spectral library based on phenological stages for land cover classification using high-resolution satellite images

Elif Ozlem Yilmaz, T. Kavzoglu, I. Colkesen, 2024, International Journal of Remote Sensing.

UAV-BASED 3D VIRTUAL TOUR CREATION

T. Kavzoglu, C. Atalay, U. Sefercik, 2021, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Exploring the Decision-Making Process of Ensemble Learning Algorithms in Landslide Susceptibility Mapping: Insights from Local and Global eXplainable AI Analyses

T. Kavzoglu, A. Teke, 2024, Advances in Space Research.

SPATIALLY AWARE LANDSLIDE SUSCEPTIBILITY PREDICTION USING A GEOGRAPHICAL RANDOM FOREST APPROACH

T. Kavzoglu, A. Teke, 2022 .

An investigation of the design and use of feed-forward artificial neural networks in the classification of remotely sensed images

Taşkin Kavzoĝlu, T. Kavzoglu, 2001 .

Using feature selection techniques to produce smaller neural networks with better generalisation capabilities

T. Kavzoglu, P. M. Mather, T. Kavzoglu, 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).