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Ulusal Arazi Örtüsü Sınıflandırma ve İzleme Sistemi (Uasis)


               Kaynaklar


               Akın,  A.,  Sunar,  F.,  &  Berberoğlu,  S.  (2015).  Urban  change  analysis  and  future
               growth of Istanbul. Environmental monitoring and assessment, 187, 1-15.

               Aryal, K., Apan, A., & Maraseni, T. (2023). Comparing global and local land cover
               maps for ecosystem management in the Himalayas. Remote Sensing Applications:
               Society and Environment, 30, 100952.

               Aydemir, M. S., Keyik, A. N., Kahraman, F., & Aptoula, E. (2020, October). Land
               Cover Map Production of the Sakarya Basin from Multi-Temporal Satellite Images.
               In  2020  28th  Signal  Processing  and  Communications  Applications  Conference
               (SIU) (pp. 1-4). IEEE.

               Chen,  Y.,  Lin,  Z.,  Zhao,  X.,  Wang,  G.,  &  Gu,  Y.  (2014).  Deep  learning-based
               classification  of  hyperspectral  data.  IEEE  Journal  of  Selected  topics  in  applied
               earth observations and remote sensing, 7(6), 2094-2107

               Demir, I., Koperski, K., Lindenbaum, D., Pang, G., Huang, J., Basu, S., ... & Raskar, R.
               (2018). Deepglobe 2018: A challenge to parse the earth through satellite images.
               In Proceedings of the IEEE conference on computer vision and pattern recognition
               workshops (pp. 172-181).
               Griffiths, P., Nendel, C., & Hostert, P. (2019). Intra-annual reflectance composites from
               Sentinel-2 and Landsat for national-scale crop and land cover mapping. Remote
               sensing of environment, 220, 135-151.

               LeCun,  Y.,  Bottou,  L.,  Bengio,  Y.,  &  Haffner,  P.  (1998).  Gradient-based  learning
               applied to document recognition. Proceedings of the IEEE, 86(11), 2278-2324.

               Pesaresi, M., Corbane, C., Julea, A., Florczyk, A. J., Syrris, V., & Soille, P. (2016).
               Assessment of the added-value of Sentinel-2 for detecting built-up areas. Remote
               Sensing, 8(4), 299.

               Rujoiu-Mare, M. R., & Mihai, B. A. (2016). Mapping land cover using remote sensing
               data  and  GIS  techniques:  A  case  study  of  Prahova  Subcarpathians.  Procedia
               Environmental Sciences, 32, 244-255.
               Salman M. (2018). Hiperspektral ve lidar verilerinin öznitelik ve karar seviyelerinde
               tümleştirilmesi ve derin evrişimli sinir ağlarıyla sınıflandırılması, Yüksek Lisans Tezi,
               Hacettepe Üniversitesi, Ankara.

               Sertel, E., Musaoğlu, N., Alp, G., Algan, I. Y., Kaya, Ş., Yüksel, B., & Yılmaz, A.
               (2018). 1: 25.000 ölçekli ulusal arazi örtüsü/kullanımı sınıflandırma sistemi ile HGK
               TOPOVT veritabanının karşılaştırılması. Harita Dergisi, 160, 34-46.





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