Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Erkan Beşdok"'
Autor:
Erkan Beşdok, Tuba Kurban
Publikováno v:
Sensors, Vol 9, Iss 8, Pp 6312-6329 (2009)
This paper introduces a comparison of training algorithms of radial basis function (RBF) neural networks for classification purposes. RBF networks provide effective solutions in many science and engineering fields. They are especially popular in the
Externí odkaz:
https://doaj.org/article/7ad553e3576a4cbea94a520dfb3328cc
Autor:
Erkan Beşdok
Publikováno v:
Sensors, Vol 9, Iss 6, Pp 4572-4585 (2009)
Camera calibration is a crucial prerequisite for the retrieval of metric information from images. The problem of camera calibration is the computation of camera intrinsic parameters (i.e., coefficients of geometric distortions, principle distance and
Externí odkaz:
https://doaj.org/article/cd5399518ec34443bde6a3a105b8b001
Autor:
Erkan BEŞDOK, Pınar ÇİVİCİOĞLU
Publikováno v:
Mersin Photogrammetry Journal.
Digital image processing heavily relies on the connectivity of pixels, as it is a vital component for accurate object identification and analysis within an image. Grouping together pixels with similar features such as color and intensity, allows for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b83badde59cd2656af97acf8a1d7fdd2
https://doi.org/10.53093/mephoj.1279877
https://doi.org/10.53093/mephoj.1279877
Autor:
Mehmet Akif GÜNEN, Erkan BEŞDOK
Publikováno v:
Mersin Photogrammetry Journal.
Hyperspectral images contain a large amount of information and are composed of several spectral bands. These data are used to classify pixels for land use/cover analysis, which is a popular subject, particularly in remote sensing. Because of noise ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d35bf594ed96b86b5fb51d5db34cefc9
https://doi.org/10.53093/mephoj.1213166
https://doi.org/10.53093/mephoj.1213166
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 86:581-588
Autoencoder (AE)-based deep neural networks learn complex problems by generating feature-space conjugates of input data. The learning success of an AE is too sensitive for a training algorithm. The problem of hyperspectral image (HSI) classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::781347b036a55fa703005bb139f36b21
https://doi.org/10.14358/pers.86.9.581
https://doi.org/10.14358/pers.86.9.581
Publikováno v:
Neural Computing and Applications. 32:17681-17701
Camera calibration is an avoidable process for computational vision applications, such as 3D reverse engineering, industrial robot calibration, optic-pattern recognition, simultaneous localization and mapping, autonomous visual-driving and photogramm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db77241dae9c45608497687972470b2d
https://doi.org/10.1007/s00521-020-04944-1
https://doi.org/10.1007/s00521-020-04944-1
© 2021 John Wiley & Sons Ltd.Motion Capture datasets are captured as high-frequency discrete samples using photogrammetric computer vision or various industrial geodetic measurement methods over the relevant model. Because Motion Capture data are in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49630911df7481aa3e80a293921dc733
https://aperta.ulakbim.gov.tr/record/237960
https://aperta.ulakbim.gov.tr/record/237960
Autor:
Mehmet Akif Günen, Erkan Beşdok
Publikováno v:
Volume: 6, Issue: 3 125-135
International Journal of Engineering and Geosciences
International Journal of Engineering and Geosciences
Point clouds (PCs) are inevitable sources to generate digital solid model-based applications such as reverse engineering, differential 3D modelling, 3D sensing and modelling of environments, scene reconstruction, augmented reality. Photogrammetric me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9326d9d3e7b8171070df162f8bc76136
https://avesis.erciyes.edu.tr/publication/details/719c79ab-ff0c-474e-b1e0-4810e66bc9a4/oai
https://avesis.erciyes.edu.tr/publication/details/719c79ab-ff0c-474e-b1e0-4810e66bc9a4/oai
Due to the complex structure of observation based traffic accident data and the absence of an analytic model to define their characteristics, different models are required. Accident characteristics have been modeled for different road segments with t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::888f4efc711b64ac5f52e5d9e7c1b6c9
http://hdl.handle.net/20.500.12566/472
http://hdl.handle.net/20.500.12566/472
Autor:
Erkan Beşdok, Emre Tercan
Publikováno v:
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 8:103-111
Trafik kazaları Türkiye’de en önemli sorunlar arasında yer almaktadır. Trafik kazaları çok sayıda can vemal kaybına neden olmakta ve toplum üstünde olumsuz sosyal ve psikolojik etkiler yaratmaktadır. Ölümlü veyayaralanmalı kazalara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27a3368b6aa93a82a7a544f81251f482
https://doi.org/10.21597/jist.407848
https://doi.org/10.21597/jist.407848