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<p align="justify"> <br /> <br /> <br /> The photogrammetric method is commonly used for large-scale and small-scale mapping with wide areas. The instrument used is UAV (Unmanned Aerial Vehicle) or unmanned aircraft with DJI Phantom 4 Pro type. DJI Phantom 4 Pro is...

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Main Author: Fiddin Yurizka Firdaus (NIM : 15113037), R
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/30388
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:30388
spelling id-itb.:303882018-03-15T13:10:57Z#TITLE_ALTERNATIVE# Fiddin Yurizka Firdaus (NIM : 15113037), R Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/30388 <p align="justify"> <br /> <br /> <br /> The photogrammetric method is commonly used for large-scale and small-scale mapping with wide areas. The instrument used is UAV (Unmanned Aerial Vehicle) or unmanned aircraft with DJI Phantom 4 Pro type. DJI Phantom 4 Pro is used for mapping areas up to 1,000 ha. In addition, for larger mapping areas can use manned aircraft. In photogrammetric mapping, two commonly used camera types are metric cameras and non-metric cameras. The use of camera metrics requires a large operational cost, so the other option is to use a non-metric camera. Non-metric cameras produce smaller photo frames than metric cameras. The type of camera used by researchers is non-metric camera with FC6310 type. The result of FC6310 requires accuracy analysis. The analysis was done by the researchers by processing the aerial photo data into orthomosaic with two different software namely Agisoft PhotoScan and Bentley ContextCapture. The orthomosaic results were compared with GPS observations and analyzed using standard photogrammetric accuracy. Geometry standard of accuracy used is the Regulation of Head of Geospatial Information No. 15 of 2014 and Regulation of the Minister of Agriculture / Head of National Land Institution No. 3 of 1997. The result of orthomosaic camera FC6310 has RMSE around 20 cm. Orthomosaic can be used for a base map of 1: 1,000 scale with 3rd class horizontal precision and 1: 1000 scale land registration map. The orthomosaic results of Agisoft PhotoScan and Bentley ContextCapture have the same relative geometric accuracy based on the ratio of variance to the F-Test method with 90% confidence interval.<p align="justify"> <br /> <br /> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description <p align="justify"> <br /> <br /> <br /> The photogrammetric method is commonly used for large-scale and small-scale mapping with wide areas. The instrument used is UAV (Unmanned Aerial Vehicle) or unmanned aircraft with DJI Phantom 4 Pro type. DJI Phantom 4 Pro is used for mapping areas up to 1,000 ha. In addition, for larger mapping areas can use manned aircraft. In photogrammetric mapping, two commonly used camera types are metric cameras and non-metric cameras. The use of camera metrics requires a large operational cost, so the other option is to use a non-metric camera. Non-metric cameras produce smaller photo frames than metric cameras. The type of camera used by researchers is non-metric camera with FC6310 type. The result of FC6310 requires accuracy analysis. The analysis was done by the researchers by processing the aerial photo data into orthomosaic with two different software namely Agisoft PhotoScan and Bentley ContextCapture. The orthomosaic results were compared with GPS observations and analyzed using standard photogrammetric accuracy. Geometry standard of accuracy used is the Regulation of Head of Geospatial Information No. 15 of 2014 and Regulation of the Minister of Agriculture / Head of National Land Institution No. 3 of 1997. The result of orthomosaic camera FC6310 has RMSE around 20 cm. Orthomosaic can be used for a base map of 1: 1,000 scale with 3rd class horizontal precision and 1: 1000 scale land registration map. The orthomosaic results of Agisoft PhotoScan and Bentley ContextCapture have the same relative geometric accuracy based on the ratio of variance to the F-Test method with 90% confidence interval.<p align="justify"> <br /> <br />
format Final Project
author Fiddin Yurizka Firdaus (NIM : 15113037), R
spellingShingle Fiddin Yurizka Firdaus (NIM : 15113037), R
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author_facet Fiddin Yurizka Firdaus (NIM : 15113037), R
author_sort Fiddin Yurizka Firdaus (NIM : 15113037), R
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/30388
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