Amanina, Nabilah (2024) Analisis Metode Korelasi Berbasis Area dan Fitur untuk Pembentukan Peta Ortofoto dari Data Pertampalan Foto Udara (Studi Kasus: Teknik Geomatika ITS). Masters thesis, Institut Teknologi Sepuluh Nopember.
![[thumbnail of 6016231009-Master_Thesis.pdf]](http://repository.its.ac.id/style/images/fileicons/text.png) |
Text
6016231009-Master_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 October 2026. Download (4MB) | Request a copy |
Abstract
Informasi geospasial adalah data suatu tempat dengan koordinat geografis yang dapat dikumpulkan, dimodifikasi, dan ditampilkan secara real time. Data geospasial dapat diperoleh melalui survei lapangan dan fotogrametri udara, yang menghasilkan dua produk utama, yaitu foto udara dan model elevasi digital. Ortofoto menunjukkan gambar suatu objek di posisi ortografi sebenarnya, dan pembentukannya melibatkan proses image matching dengan beberapa metode. Penelitian ini menganalisis pencocokan gambar antara foto udara yang saling bertampalan menggunakan metode berbasis area dan berbasis fitur dengan dua persamaan korelasi. Pada metode berbasis area, sembilan sampel diambil dari area unik dalam foto, seperti objek dengan warna berbeda dari sekitarnya, dengan ukuran sampel 9×9, 15×15, dan 33×33 piksel. Sampel 9×9 menunjukkan nilai korelasi tinggi tetapi banyak kesalahan deteksi, sedangkan ukuran 33×33 lebih akurat dengan nilai korelasi rata-rata 0,86019, menunjukkan tujuh dari sembilan sampel sesuai. Metode berbasis fitur memilih sembilan sampel berdasarkan objek spesifik seperti kayu, atap, dan sudut genting dengan ukuran bervariasi. Hasilnya, delapan dari sembilan sampel sesuai dengan lokasi sebenarnya, kecuali satu sampel yang salah terdeteksi di area vegetasi. Setelah memperbarui sampel dari vegetasi ke objek, dihasilkan nilai korelasi yang meningkat menjadi 0,16104, menunjukkan pentingnya pemilihan sampel yang tepat. Perbandingan kedua metode menunjukkan bahwa metode berbasis area lebih konsisten dalam menghasilkan lokasi pencocokan yang tepat meskipun ukuran sampelnya bervariasi, dengan standar deviasi nilai korelasi berbasis area (0,0411) lebih baik daripada berbasis fitur (0,0547).
==========================================================
Geospatial information is data about a location with geographic coordinates that can be collected, modified and displayed in real time. Geospatial data can be obtained through field surveys and aerial photogrammetry, which produce two main products: aerial photographs and digital elevation models. An orthophoto shows an image of an object in its true orthographic position and its production involves an image matching process using several methods. This research analyzes image matching between overlapping aerial photographs using area-based and feature-based methods with two correlation equations. In the area-based method, nine samples were taken from unique areas in the photographs, such as objects with different colours from their surroundings, with sample sizes of 9×9, 15×15 and 33×33 pixels. The 9×9 sample shows a high correlation value but many detection errors, while the 33×33 size is more accurate with an average correlation value of 0.86019, indicating that seven out of nine samples match. The feature-based method selects nine samples based on specific objects such as wood, roof and tile corners of different sizes. As a result, eight out of nine samples matched the actual location, except for one sample that was mistakenly detected in the vegetation area. After updating the samples from vegetation to objects, the resulting correlation value increased to 0.16104, showing the importance of correct sample selection. A comparison of the two methods shows that the area-based method is more consistent in producing accurate matching locations despite varying sample sizes, with the standard deviation of the area-based correlation value (0.0411) being better than the feature-based (0.0547).
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | pencocokan gambar, berbasis area, berbasis fitur, korelasi, foto udara, image matching, area-based, feature-based, cross-correlation, aerial image |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography > GA139 Digital Elevation Model (computer program) T Technology > TA Engineering (General). Civil engineering (General) > TA593 Orthophotography T Technology > TR Photography > TR810 Aerial photography |
| Divisions: | Faculty of Civil Engineering and Planning > Geomatics Engineering > 29101-(S2) Master Thesis |
| Depositing User: | Nabilah Amanina |
| Date Deposited: | 31 Jul 2024 01:27 |
| Last Modified: | 31 Jul 2024 01:27 |
| URI: | http://repository.its.ac.id/id/eprint/109706 |
Actions (login required)
 |
View Item |