Farklı Dikiş Çizgisi Üretim Yöntemlerinin Meskûn Alanda Ortofoto Mozaik Üretimine Etkisi

Gelişen yazılım ve görüntü alım sistemleri, ortofoto üretim zamanını azaltmış, ortofoto kalitesini artırmış ve yapım maliyetinidüşürmüştür. Ortofoto üretim işleminin kalitesini, dış yöneltme parametreleri ve sayısal yükseklik modelleri etkilemektedir. Mozaikleme işleminde kullanılacak dikiş çizgisinin kalitesini ise kullanılan matematiksel yöntemleretkilemektedir. Dikiş çizgisi üretiminde kullanılacak en doğru matematik yöntemi belirlemek, ortofoto üretim süresini azaltacağı ve ortofoto kalitesini artıracağı beklenmektedir. Bu çalışmada belirlenen test alanında (meskun) yer örnekleme aralığı 30 cm ve 10 cm olan görüntüler kullanılarak nesne algılama, uyumlu saydamlaştırma, akıllı dikiş ve en yakın kamera merkezi yöntemleri ile mozaik üretimi gerçekleştirilmiştir. Sonuç olarak, en başarılı sonuçlar nesne algılama yöntemiyle elde edilmiştir.

The Impact of Different Seamline Production Methods on the Production of Orthophoto Mosaic in Urban Area

Evolving software and image acquisition systems have reduced orthophoto production time, positively impacted product quality and reduced production costs. Quality of the orthophoto production process is influenced by the exterior orientation parameters and the digital elevation model. The seamline used in the mosaicking is also affected by the mathematical methods used.It is certain that determining the most accurate mathematical method to be used in seamline production will reduce time in orthophoto production and increase product quality. In the test area (urban area) determined in this study,mosaic production withobject-based recognition, adaptive feathering, smart seams method and the closest-to-camera-center methods have been realized using images with a ground sampling distance (GSD) of 30 cm and 10 cm. As a result, the most successful results have been obtained using object-based recognition method.

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