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.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:Evolving software and image acquisition systems have reduced orthophoto production time, positively impacted product quality and reduced production costs.
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Temel Bulgular & Veri:Quality of the orthophoto production process is influenced by the exterior orientation parameters and the digital elevation model.
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Sonuç & Katkı: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.
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.
Hakan, H., KARABÖRK, K., FAKIOĞLU, M. O. (2017). The Impact of Different Seamline Production Methods on the Production of Orthophoto Mosaic in Urban Area. Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, Cilt: 17 - Sayı: 2, 620–627. https://ajindex.com/articles/451510
Chen, Q., Sun, M., Hu, X., Zhang, Z., 2014, Automatic Seamline Network Generation for Urban Orthophoto Mosaicking with the Use of a Digital Surface Model, Remote Sens. 2014, 6, 12334-12359.
Chon, J., H, Kim., C, Lin., 2010, Seam-Line Determination for Image Mosaicking: A Technique Minimizing the Maximum Local Mismatch and the Global Cost, ISPRS Journal of Photogrammetry and Remote Sensing, 65 (1), 86–92.
Pan, J., Wang, M., 2011, A seam-line optimized method based on difference image and gradient image, IEEE., 978-1-61284, 848-8/11. Pan, J., Wang, M., Li, J., Yuan, S., Hu, F., 2015, Region change rate-driven seamline determination method, ISPRS Journal of Photogrammetry and Remote Sensing, 105,141–154.
Pan, J., Yuan, S., Li, J., Wu, B., 2017, Seamline optimization based on ground objects classes for orthoimage mosaicking, Remote Sensing Letters, 8:3, 280-289. Saito,S., Arai, R.,Aoki,Y., 2015, Seamline Determination Based on Semantic Segmentation for Aerial Image Mosaicking, IEEE. Translations and content mining are permitted for academic research only, 3, 2847- 2856. Zhu, S.L., Yang, X.H., 2000, The seamline removing in the generation of orthophoto maps, International Archives of Photogrammetry and Remote Sensing.,Vol. XXXIIIPart B4, 1247-1251.