Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ali Ömer Kozal"'
Autor:
Ufuk Sakarya, F. Fehmi Şimşek, Bulent Avenoglu, Pınar Uçmak, Aziz Koru, Erdinç Berke, Ramazan Küpçü, Hüsne Seda Deveci, Ali Ömer Kozal, Can Demirkesen, Mustafa Teke, Ismail Tevrizoglu, A. Feray Öztoprak, H. Özen, Sevgi Zubeyde Gurbuz, Mehmet Efendioglu, Derya Kaya, Eda Ersöz, Ilkay Atil, Ibrahim Serdar Acikgoz, Ismail Hakki Demirhan
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B8, Pp 1341-1347 (2016)
Turkey is a county that experiences rapid socioeconomic development, which, in turn, leads to high urbanization rates due to migration of people from rural to urban areas, many large-scale development projects (e.g. highways, dams, housing and infras
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::404d9e15d55668b3b34ae0e79f000c96
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/1341/2016/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/1341/2016/
Autor:
Hüsne Seda Deveci, Can Demirkesen, A. Feray Öztoprak, Onur Haliloglu, Ufuk Sakarya, Behcet Ugur Toreyin, Ali Ömer Kozal, Mustafa Teke, Sevgi Zubeyde Gurbuz
Publikováno v:
2015 7th International Conference on Recent Advances in Space Technologies (RAST).
Hyperspectral remote sensing (HSRS) is becoming more and more attractive. Recent advances in sensor technologies enabled numerous applications of this imaging modality. HSRS research has been conducted at TUBITAK UZAY since 2012. This paper provides
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97f53e857783a983fe98228746b8d836
https://doi.org/10.1109/rast.2015.7208339
https://doi.org/10.1109/rast.2015.7208339
Publikováno v:
SIU
Hyperspectral sensors generate images in narrow bands in continuous manner with hundreds of spectral bands. The data with large number of bands require more processing power to classify. To decrease the redundancy in hyperspectral images and increase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc7d3326252697493c829300117aa1a7
https://aperta.ulakbim.gov.tr/record/91701
https://aperta.ulakbim.gov.tr/record/91701
Publikováno v:
Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems ISBN: 9783319005416
NOSTRADAMUS
NOSTRADAMUS
Hyperspectral images which are captured in narrow bands in continuous manner contain very large data. This data need high processing power to classify and may contain redundant information. A variety of dimension reduction methods are used to cope wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec7f0721c250e6c89f516c5362fda6b5
https://doi.org/10.1007/978-3-319-00542-3_52
https://doi.org/10.1007/978-3-319-00542-3_52