2024-03-29T02:34:19Zhttp://openaccess.cag.edu.tr/oai/requestoai:openaccess.cag.edu.tr:20.500.12507/4592024-03-19T11:36:05Zcom_20.500.12507_674com_20.500.12507_107com_20.500.12507_16com_20.500.12507_1985com_20.500.12507_12com_20.500.12507_11col_20.500.12507_680col_20.500.12507_1987col_20.500.12507_14
Data fusion in satellite images and their quantitative analysis [Uydu görüntülerinde veri karilmasi ve nicel analizi]
Ugurlu, Bora
Yildirim, Hülya
Özel, Mehmet Emin
Fen Edebiyat Fakültesi
2009 IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009 -- 9 April 2009 through 11 April 2009 -- Antalya
Data fusion may be considered a kind of complex image processing method which combines the different satellite images to bring complementary and useful information into one single composite image. The fused image will usually have better spectral and spatial resolutions to see more detailed and sometimes new features not seen in the original images. In the present work, Landsat 7 ETM, 1999 dated satellite data which is belong to Canakkale Province is used. The multispectral satellite image that is rich spectrally and panchromatic(PAN) image that is rich spatially but poor spectrally are fused by using two different methods based on Intensity,Hue,Saturation (IHS) Transformation and Principal Component Analysis. Both of the methods are assessed by looking through the relationship between the vegetation indexes of final images and multispectral satellite image.
12.07.201910:50:10
2019-07-12T15:25:49Z
12.07.201910:50:10
2019-07-12T15:25:49Z
2009
conferenceObject
978-1-4244-4436-6
https://doi.org/10.1109/SIU.2009.5136408
https://hdl.handle.net/20.500.12507/459
365
368
2-s2.0-70350343538
tur
10.1109/SIU.2009.5136408
2009 IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009
Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
info:eu-repo/semantics/openAccess
application/pdf
oai:openaccess.cag.edu.tr:20.500.12507/4282024-03-19T11:36:05Zcom_20.500.12507_674com_20.500.12507_107com_20.500.12507_16com_20.500.12507_1985com_20.500.12507_12com_20.500.12507_11col_20.500.12507_680col_20.500.12507_1987col_20.500.12507_14
Predicting VO2max from submaximal exercise and non-exercise data using artificial neural networks [Yapay Sinir aglari kullanilarak submaksimal egzersiz ve egzersize dayali olmayan verilerden VO2max tahmini]
Akay, Mehmet Fatih
Aktürk, E.
Tunçdemir, Ali Erçe
Şen, Nezih Nusret
Fen Edebiyat Fakültesi
Artificial Neural Networks
Cardiorespiratory Fitness
Submaximal Exercise Test
VO2max
2013 21st Signal Processing and Communications Applications Conference, SIU 2013 -- 24 April 2013 through 26 April 2013 -- Haspolat
The purpose of this study is to develop new multilayer feed-forward artificial neural network (ANN)-based maximal oxygen uptake (VO2max) prediction models by using submaximal treadmill exercise and nonexercise data. Using 10- fold cross validation on the dataset, standard error of estimate (SEE) and multiple correlation coefficient (R) of the models are calculated. It is shown that the models including submaximal, standard nonexercise and questionnaire variables yield higher R and lower SEE than the ones including submaximal and standard nonexercise variables only. The results of ANN-based models are also compared with the ones obtained by Multiple Linear Regression (MLR) and Support Vector Machines (SVM). It is shown that ANN-based models perform better than MLR and SVM-based models for predicting VO2max.
12.07.201910:50:10
2019-07-12T15:25:46Z
12.07.201910:50:10
2019-07-12T15:25:46Z
2013
conferenceObject
9781467355629
https://doi.org/10.1109/SIU.2013.6531406
https://hdl.handle.net/20.500.12507/428
2-s2.0-84880900572
tur
10.1109/SIU.2013.6531406
2013 21st Signal Processing and Communications Applications Conference, SIU 2013
Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
info:eu-repo/semantics/closedAccess
application/pdf
oai:openaccess.cag.edu.tr:20.500.12507/6592024-03-19T11:36:11Zcom_20.500.12507_674com_20.500.12507_107com_20.500.12507_16com_20.500.12507_1985com_20.500.12507_12com_20.500.12507_11col_20.500.12507_680col_20.500.12507_1986col_20.500.12507_13
Sub-mıcrometrıc study of cu- and hg-bearıng opaque assemblages ın unshocked prımıtıve h chondrıtes: orıgın and fırst occurrence of natıve hg ın a meteorıte
Caillet-Komorowski, C.
Boudouma, O.
El Goresy, A.
Miyahara, M.
Özel, Mehmet Emin
Fen Edebiyat Fakültesi
72nd Annual Meeting of the Meteoritical-Society -- JUL 13-18, 2009 -- Nancy, FRANCE
WOS: 000267314500200
Meteorit Soc, Barringer Crateer Co, Ctr Natl Etudes Spatiales, Ctr Natl Rec Sci, Ctr Rech Petrog & Geochim, Communaute Urbaine Grand Nancy, Conseil Gen Meurthe & Moselle, Inst Natl Sci Univ, Lunar & Planetary Inst, Minist Enseignement Superieur & Rech, Nancy Univ, NASA Cosmochem Program, Planetary Studies Fdn, Reg Lorraine
12.07.201910:50:10
2019-07-12T15:28:11Z
12.07.201910:50:10
2019-07-12T15:28:11Z
2009
conferenceObject
1086-9379
1945-5100
https://hdl.handle.net/20.500.12507/659
44
A112
A112
WOS:000267314500200
eng
Meteorıtıcs & Planetary Scıence
Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
info:eu-repo/semantics/openAccess
application/pdf
WILEY