Road Detection from High Satellite Images Using Neural Networks
Yazarlar (3)
| Makale Türü | Özgün Makale (Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale) | ||
| Dergi Adı | International Journal of Modeling and Optimization | ||
| Dergi ISSN | 2010-3697 | ||
| Dergi Tarandığı Indeksler | ProQuest, Electronic Journals Library, EngineeringTechnology, IET Inspec, CrossRef, DOAJ, Engineering Village, DOI System | ||
| Makale Dili | İngilizce | Basım Tarihi | 08-2015 |
| Cilt / Sayı / Sayfa | 5 / 4 / 304–307 | DOI | 10.7763/IJMO.2015.V5.479 |
| Makale Linki | http://www.ijmo.org/index.php?m=contentc=indexa=showcatid=57id=564 | ||
| UAK Araştırma Alanları |
Mühendislik
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| Özet |
| In this paper, we propose a road detection model approach based on neural networks from satellite images. The model is based on Multilayer Perceptron (MLP) which is one of the most preferred artificial neural network architecture in classification and prediction problems. According the neural network, the RGB values are used for deciding the pixel belongs to road or not. The found road pixels are marked in the output image. |
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| Uzaktan Algılama |
BM Sürdürülebilir Kalkınma Amaçları
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| Google Scholar | 22 |