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There are two types of images used in the science of photogrametry, i.e. aerial and terrestrial photographs. Terrestrial photographs are made with a camera on earth, generally with known position and orientation that is often measured directly at the time of recording. Both aerial and terrestrial...

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Main Author: MOCHAMAD SUBCHAN (NIM 15102013), RIZKIE
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/12592
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:12592
spelling id-itb.:125922017-10-09T10:51:10Z#TITLE_ALTERNATIVE# MOCHAMAD SUBCHAN (NIM 15102013), RIZKIE Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/12592 There are two types of images used in the science of photogrametry, i.e. aerial and terrestrial photographs. Terrestrial photographs are made with a camera on earth, generally with known position and orientation that is often measured directly at the time of recording. Both aerial and terrestrial photographs have a scale that is practically defined as the ratio between the average distance of objects to a camera with a focus distance of the camera that is used. Scale changes affect the image resolution and coverage of the objects that can be recorded, meanwhile those are the factors considered in the analysis of Photogrammetry.<p> <br /> <br /> <br /> <br /> <br /> <br /> <br /> Analysis of photogrametry is to assess the suitability of which the image digitally. Wavelet transformation provides an alternative solution to solve the problem in automation photogrammetry associated with the digital image matching. Wavelet transformation is a technique to change the function of the spatial domain to frequency-spatial domain. Image in the frequency-spatial domain would provide spectrum information image, it can provide information from an image that is not seen visually in the spatial domain. There are several methods of improving the image of the spatial frequency domain, which include low-frequency and high frequency decomposition. The frequency decomposition using wavelet transformation and wavelet coefficients of the low frequency decomposition results are the things to be adjusted in this study.<p> <br /> <br /> <br /> <br /> <br /> <br /> <br /> Experimental datas are images of the four locations of the campus of ITB recorded based on close range terrestrial photographic techniques, while the images from each location were recorded with different distances from the average plane of the recorded object so images are produced with different scale also. Mother wavelet used is the Daubechies-3 with the experimental levels of decomposition until third level and variety of search image and the reference image according to changes in image scale is used.<p> <br /> <br /> <br /> <br /> <br /> <br /> <br /> Experiment results show the correlation value changes to the increasing scale. The increase in the number of scale may result in larger correlation values, or vice versa, depending on changes in the diversity of the information contained in the image. 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 There are two types of images used in the science of photogrametry, i.e. aerial and terrestrial photographs. Terrestrial photographs are made with a camera on earth, generally with known position and orientation that is often measured directly at the time of recording. Both aerial and terrestrial photographs have a scale that is practically defined as the ratio between the average distance of objects to a camera with a focus distance of the camera that is used. Scale changes affect the image resolution and coverage of the objects that can be recorded, meanwhile those are the factors considered in the analysis of Photogrammetry.<p> <br /> <br /> <br /> <br /> <br /> <br /> <br /> Analysis of photogrametry is to assess the suitability of which the image digitally. Wavelet transformation provides an alternative solution to solve the problem in automation photogrammetry associated with the digital image matching. Wavelet transformation is a technique to change the function of the spatial domain to frequency-spatial domain. Image in the frequency-spatial domain would provide spectrum information image, it can provide information from an image that is not seen visually in the spatial domain. There are several methods of improving the image of the spatial frequency domain, which include low-frequency and high frequency decomposition. The frequency decomposition using wavelet transformation and wavelet coefficients of the low frequency decomposition results are the things to be adjusted in this study.<p> <br /> <br /> <br /> <br /> <br /> <br /> <br /> Experimental datas are images of the four locations of the campus of ITB recorded based on close range terrestrial photographic techniques, while the images from each location were recorded with different distances from the average plane of the recorded object so images are produced with different scale also. Mother wavelet used is the Daubechies-3 with the experimental levels of decomposition until third level and variety of search image and the reference image according to changes in image scale is used.<p> <br /> <br /> <br /> <br /> <br /> <br /> <br /> Experiment results show the correlation value changes to the increasing scale. The increase in the number of scale may result in larger correlation values, or vice versa, depending on changes in the diversity of the information contained in the image.
format Final Project
author MOCHAMAD SUBCHAN (NIM 15102013), RIZKIE
spellingShingle MOCHAMAD SUBCHAN (NIM 15102013), RIZKIE
#TITLE_ALTERNATIVE#
author_facet MOCHAMAD SUBCHAN (NIM 15102013), RIZKIE
author_sort MOCHAMAD SUBCHAN (NIM 15102013), RIZKIE
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
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url https://digilib.itb.ac.id/gdl/view/12592
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