Fassa, Zerlina Salsabila (2026) Analisis Perbandingan Pemodelan 3D Berbasis Foto Udara dan Integrasi LiDAR (Studi Kasus: Balai Kota Surabaya). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penyajian data geospasial 3D berperan penting dalam perencanaan, pembangunan, dan pengelolaan infrastruktur perkotaan. Pemodelan 3D menggunakan UAV semakin banyak digunakan karena mampu menghasilkan representasi objek yang detail dan akurat. Penelitian ini bertujuan menganalisis perbandingan hasil pemodelan 3D Gedung Balai Kota Surabaya menggunakan metode foto udara dan integrasi dengan Light Detection and Ranging (LiDAR). Akuisisi data menggunakan UAV DJI Matrice 350 RTK dengan sensor Zenmuse L2. Data foto udara diolah dengan Structure from Motion (SfM), data LiDAR dengan Strip Adjustment, dan integrasi keduanya dengan algortima Iterative Closest Point (ICP) menghasilkan RMSE registrasi sebesar 0,037 m. Analisis kualitas model meliputi visualisasi (normalized cross correlation dan omisi-komisi), ketelitian geometrik, ketelitian dimensi (uji chi-square), cloud-to-cloud distance, surface density, dan Level of Detail (LoD). Hasil menunjukkan, secara visual model foto udara merepresentasikan sesuai bentuk asli dengan presentase omisi-komisi lebih rendah dan nilai cross correlation lebih tinggi dibanding model integrasi. Uji geometrik foto melalui uji CE90 dan LE90 keduanya memenuhi standar peta skala 1:1000 kelas 1. Ketelitian dimensi foto menghasilkan RMSE 0,034 m, sedangkan integrasi 0,023 m. Cloud-to-cloud distance menghasilkan rata-rata jarak 0,002048 m menunjukkan kesesuaian antar dua metode sangat tinggi. Surface density integrasi menunjukkan kerapatan point cloud integrasi lebih tinggi dibandingkan foto udara. Kedua model memenuhi standar LoD 3, dengan akurasi geometrik, dimensi, surface density integrasi lebih baik. Sedangkan secara visual, foto udara lebih baik
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The presentation of 3D geospatial data plays a crucial role in the planning, development, and management of urban infrastructure. 3D modeling using UAVs is increasingly being used because it can produce detailed and accurate representations of objects. This study aims to analyze a comparison of 3D modeling results for the Surabaya City Hall building using aerial photography and integration with Light Detection and Ranging (LiDAR). Data acquisition was performed using a DJI Matrice 350 RTK UAV equipped with a Zenmuse L2 sensor. Aerial photogrammetry data were processed using Structure from Motion (SfM), LiDAR data using Strip Adjustment, and the integration of both using the Iterative Closest Point (ICP) algorithm resulted in a registration RMSE of 0.037 m. Model quality analysis included visualization (normalized cross-correlation and omission-commission), geometric accuracy, dimensional accuracy (chi-square test), cloud-to-cloud distance, surface density, and Level of Detail (LoD). The results showed that, visually, the aerial photograph model accurately represented the original shape, with a lower omission-commission percentage and a higher cross-correlation value compared to the integration model. Geometric accuracy tests using CE90 and LE90 both met the standards for Class 1 maps at a scale of 1:1000. The dimensional accuracy of the aerial photograph yielded an RMSE of 0.034 m, while the integrated model yielded 0.023 m. The average cloud-to-cloud distance of 0.002048 m indicates a very high level of agreement between the two methods. The integration surface density indicates that the integration point cloud has a higher density than the aerial photograph. Both models meet the LoD 3 standard, with the integration method demonstrating better geometric and dimensional accuracy as well as higher surface density. Visually, however, the aerial photograph is superior.
| Item Type: | Thesis (Other) |
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| Uncontrolled Keywords: | Foto Udara, LiDAR, Model 3D, UAV, Zenmuse L2, 3D Model, Aerial Photography, LiDAR, UAV, Zenmuse L2 |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing U Military Science > UG1242 Drone aircraft--Control systems. (unmanned vehicle) |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Zerlina Salsabila Fassa |
| Date Deposited: | 22 Jul 2026 08:58 |
| Last Modified: | 22 Jul 2026 08:58 |
| URI: | http://repository.its.ac.id/id/eprint/136310 |
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