ACCURACY ASSESSMENT TOWARD MERGING OF TERRESTRIAL LASER SCANNER POINT DATA AND UNMANNED AERIAL SYSTEM POINT DATA

Year 2023, Volume: 11 Issue: 1, 124 - 135, 01.03.2023

Lütfiye Karasaka , Hasan Bilgehan Makineci , Kasım Erdal

https://doi.org/10.36306/konjes.1150611

Cited By: 3

Abstract

Terrestrial Laser Scanning (TLS) techniques are widely preferred for 3D models of small and large objects, buildings, and historical and cultural heritages. However, sometimes relying on a single method for 3D modelling an object/structure is insufficient to arrive at a solution or meet expectations. For example, Unmanned Aerial Systems (UAS) provide perspective for building roofs, while terrestrial laser scanners provide general information about building facades. In this research, several facades of a selected building could not be modelled using terrestrial laser scanning, and UAS was used to complete the missing data for 3D modelling. The transformation matrix, a linear function, is created to merge different data types. In the transformation matrix, the scale was found to be 1:1.012. The accuracy analysis of the produced 3D model was also made by comparing the spatial measurements taken from different building facades and the differences in the measurement values obtained from the 3D model and calculating statistically. According to the accuracy analysis results, the Root Mean Square Error (RMSE) value is approximately 3 cm. The results of the accuracy research, which are within the 95% confidence interval with the three-sigma rule, are approximately 2 cm as RMSE. As a result of the study, it was determined that the data obtained from UAV photogrammetry and the data obtained by the TLS technique could be combined, and the integrated 3D model obtained can be used more efficiently.

Keywords

Merging of Point Data, Terrestrial Laser Scanning, Unmanned Aerial Systems, 3D Modelling

Supporting Institution

Konya Technical University Scientific Research Projects Coordinatorship

Project Number

191005034

Yersel Lazer Tarayıcı Nokta Verileri ile İnsansız Hava Aracı Nokta Verilerinin Entegrasyonunda Doğruluk Değerlendirmesi

Abstract

Yersel Lazer Tarama (YLT) teknikleri, küçük ve büyük nesnelerin, binaların, tarihi ve kültürel mirasların 3 boyutlu modelleri için yaygın olarak tercih edilmektedir. Ancak bazen bir nesnenin/yapının 3B modellemesi için tek bir yönteme güvenmek, bir çözüme ulaşmak veya beklentileri karşılamak için yetersiz kalmaktadır. Örneğin, İnsansız Hava Sistemleri (İHA) bina çatıları için perspektif sağlarken, YLT sistemleri bina cepheleri hakkında kullanılabilir veri sağlamaktadır. Bu araştırmada, seçilen bir binanın, YLT kullanılarak modellenemeyen cephelerinde 3B modelleme için eksik verileri tamamlamak için İHA fotogrametri tekniği kullanılmıştır. Doğruluk değerlendirmesi analizi de 1.50 cm/pik Yer Örnekleme Aralığı (YÖA) uçuş irtifasında elde edilen görüntülerden elde edilen nokta verileri ile YLT tarafından üretilen nokta verileri birleştirilerek yapılmıştır. Farklı boyut ve kesitlerdeki tüm bina cephelerinden alınan yersel ölçümler ile 3B modelden elde edilen ölçüm değerlerindeki farklılıklar karşılaştırılarak ve istatistiksel olarak hesaplanarak doğruluk analizi yapılmıştır. Çalışmanın sonucu olarak İHA fotogrametrisinden elde edilen veriler ile YLT tekniği ile elde edilen verilerin bir araya getirilebilir olduğu ve elde edilen bütünleşik 3B modelin daha verimli kullanılabilir olduğu belirlenmiştir.

Keywords

Nokta Bulutu Entegrasyonu, İnsansız Hava Aracı, Yersel Lazer Tarama, 3B Model

Project Number

191005034

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