Machine Learning Based Segmentation of Shoreline Using Mean-Shift, Random Forest and Support Vector Machine
نویسندگان
چکیده
Kıyılar kara ve deniz sınırını oluşturan, belirli bir canlı ekosistemini ihtiva eden alanlardır. Suların iklim değişimine bağlı olarak çekilmesi veya yükselmesi, gelgit hareketleri, tropik ekosistemlerde hava olaylarına meydana gelen fırtına, hortum, kasırga vb. olaylarında, alanlarının karalardan ayrıldığı kıyı çizgisinin belirlenmesi önem arz etmektedir. Bu çalışma kapsamında Sentinel-2A uzaktan algılama görüntüsü üzerinde, makine öğrenmesi tabanlı mean-shift, rastgele orman (RO) destek vektör makinaları (DVM) yöntemleri uygulanmış olup, bölütleme sonrası sonuç görüntüleri doğruluk IoU metrikleri ile değerlendirilmiştir. Genel doğruluklar, için sırasıyla %97.23, %99.15 %98.68 bulunmuştur.
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ژورنال
عنوان ژورنال: Çukurova Üniversitesi Mühendislik Fakültesi Dergisi
سال: 2022
ISSN: ['2757-9255']
DOI: https://doi.org/10.21605/cukurovaumfd.1190597