Search Results - "Kavzoglu, T."

An experimental comparison of multi-resolution segmentation, SLIC and K-means clustering for object-based classification of VHR imagery by Kavzoglu, T., Tonbul, H.

“…With smaller pixel coverages from recent sensors, considering single pixels in the classification process has become ineffective and incapable for delineation…”
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SPATIALLY AWARE LANDSLIDE SUSCEPTIBILITY PREDICTION USING A GEOGRAPHICAL RANDOM FOREST APPROACH by Teke, A., Kavzoglu, T.

“…Landslide susceptibility prediction practices have been increasingly reliant on non-geographically-oriented (i.e., aspatial) machine learning algorithms. While…”
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Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela by Gómez, H., Kavzoglu, T.

“…Landslides represent one of the most morphodynamic processes that affect the steep lands, and may destroy croplands as well as urban and industrial…”
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QUALITY ASSESSMENT FOR MULTI-RESOLUTION SEGMENTATION AND SEGMENT-ANYTHING MODEL USING WORLDVIEW-3 IMAGERY by Yilmaz, E. O., Kavzoglu, T.

“…Image segmentation, is of utmost importance in the disciplines of digital image processing, particularly remote sensing and computer vision, has seen an…”
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The use of backpropagating artificial neural networks in land cover classification by Kavzoglu, T., Mather, P. M.

“…Artificial neural networks (ANNs) are used for land cover classification using remotely sensed data. Training of a neural network requires that the user…”
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UAV-BASED 3D VIRTUAL TOUR CREATION by Sefercik, U. G., Kavzoglu, T., Nazar, M., Atalay, C., Madak, M.

“…Lately, improvements in game engines have increased the interest in virtual reality (VR) technologies, that engages users with an artificial environment, and…”
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Classification of poplar trees with object-based ensemble learning algorithms using Sentinel-2A imagery by Tonbul, H., Colkesen, I., Kavzoglu, T.

“…The poplar species in the forest ecosystems are one of the most valuable and beneficial species for the society and environment. Conventional methods require…”
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LAND COVER CLASSIFICATION PERFORMANCE OF MULTISPECTRAL RTK UAVs by Sefercik, U. G., Kavzoglu, T., Colkesen, I., Adali, S., Dinc, S., Nazar, M., Ozturk, M. Y.

“…Unmanned air vehicle (UAV) became an alternative airborne remote sensing technique, due to providing very high resolution and low cost spatial data and short…”
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Simulating Landsat ETM+ imagery using DAIS 7915 hyperspectral scanner data by Kavzoglu, T.

“…Any application in remote sensing requires specific datasets that are defined in terms of the spectral and spatial characteristics of the sensor. The question…”
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The role of feature selection in artificial neural network applications by Kavzoglu, T., Mather, P. M.

“…Determination of the 'best' bands that are assigned to the input neurons of an artificial neural network (ANN) is one of the critical steps in designing the…”
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ASSESSMENT OF FIRE SEVERITY AND POST-FIRE REGENERATION BASED ON TOPOGRAPHICAL FEATURES USING MULTITEMPORAL LANDSAT IMAGERY: A CASE STUDY in MERSIN, TURKEY by Tonbul, H., Kavzoglu, T., Kaya, S.

“…Satellite based remote sensing technologies and Geographical Information Systems (GIS) present operable and cost-effective solutions for mapping fires and…”
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A REGION-BASED MULTI-SCALE APPROACH FOR OBJECT-BASED IMAGE ANALYSIS by Kavzoglu, T., Yildiz Erdemir, M., Tonbul, H.

“…Within the last two decades, object-based image analysis (OBIA) considering objects (i.e. groups of pixels) instead of pixels has gained popularity and…”
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Data filtering with support vector machines in geometric camera calibration by Ergun, B, Kavzoglu, T, Colkesen, I, Sahin, C

“…The use of non-metric digital cameras in close-range photogrammetric applications and machine vision has become a popular research agenda. Being an essential…”
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Parameter-Based Performance Analysis of Object-Based Image Analysis Using Aerial and Quikbird-2 Images by Kavzoglu, T., Yildiz, M.

“…Opening new possibilities for research, very high resolution (VHR) imagery acquired by recent commercial satellites and aerial systems requires advanced…”
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Modelling local GPS/levelling geoid undulations using artificial neural networks by Kavzoglu, T., Saka, M. H.

“…The use of GPS for establishing height control in an area where levelling data are available can involve the so-called GPS/levelling technique. Modelling of…”
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Increasing the accuracy of neural network classification using refined training data by Kavzoglu, Taskin

“…Image classification is a complex process affected by some uncertainties and decisions made by the researchers. The accuracy achieved by a supervised…”
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Reply to the comments by R. N. Celik and H. S. Kutoglu on Kavzoglu and Saka (2005) “Modelling local GPS/levelling geoid undulations using artificial neural networks” J Geod 78(9):520–527 by Kavzoglu, T., Saka, M. H.

“…Kavzoglu and Saka respond to comments by Celik and Kutoglu concerning criticisms aimed at their advocacy of artificial neural networks for geodetic research…”
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Pruning artificial neural networks: An example using land cover classification of multi-sensor images by Kavzoglu, T., Mather, P. M.

“…The use of three techniques for pruning artificial neural networks (magnitude-based pruning, optimum brain damage and optimal brain surgeon) is investigated,…”
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Burned Area Detection with Sentinel-2A Data: Using Deep Learning Techniques with eXplainable Artificial Intelligence by Yilmaz, Elif Ozlem, Kavzoglu, Taskin

“…Annually, a considerable quantity of forest is burned on a global scale. Therefore, it is essential to obtain precise and fast information regarding the size…”
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ASSESSMENT OF FIRE SEVERITY AND POST-FIRE REGENERATION BASED ON TOPOGRAPHICAL FEATURES USING MULTITEMPORAL LANDSAT IMAGERY: A CASE STUDY in MERSIN, TURKEY by Tonbul, H., Kavzoglu, T., Kaya, S.

“…Satellite based remote sensing technologies and Geographical Information Systems (GIS) present operable and cost-effective solutions for mapping fires and…”
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