| Yazarlar (2) |
Öğr. Gör. Fatih Zahid GENÇ
Doğuş Üniversitesi |
Gökhan Bilgin
Yıldız Teknik Üniversitesi, Türkiye |
| Özet |
| In this study, a new approach is described in hyperspectral remote sensing image classification problem. In this approach, each band of hyperspectral image is decomposed to details by using à trous wavelet decomposition method. The obtained details are injected to the related hyperspectral band additively and proportionally. Thus, the hyperspectral image de- tails are improved. The resulting new image after dimensionality reduction is trained and classified with conventional classifiers and ensemble methods, and their performance is discussed. It has been proven that the proposed method improves the metric results in terms of the overall accuracy and Kappa. |
| Anahtar Kelimeler |
| Bildiri Türü | Tebliğ/Bildiri |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Ulusal Kongre/Sempozyum) |
| Bildiri Niteliği | Alanında Hakemli Ulusal Kongre/Sempozyum |
| DOI Numarası | 10.1109/ASYU50717.2020.9259860 |
| Bildiri Dili | Türkçe |
| Kongre Adı | 2020 Innovations in Intelligent Systems and Applications Conference (ASYU20) |
| Kongre Tarihi | 15-10-2020 / 17-10-2020 |
| Basıldığı Ülke | Türkiye |
| Basıldığı Şehir | Istanbul |
| Bildiri Linki | https://ieeexplore.ieee.org/document/9259860/ |
