IDENTIFIKASI STRUKTUR DAN TEKSTUR DATA POLARIMETRI SYNTHETIC APERTURE RADAR (SAR) UNTUK MEMPERKIRAKAN KARAKTERISTIK JENDELA MINYAK DI DAERAH VULKANIK

<p align="justify">Synthetic Aperture Radar (SAR) technology is a more accurate and efficient approach in hydrocarbon exploration, with the more limited of exploration’s amount taken into account. One of the advantages of SAR image utilization is to detect target object (oil windo...

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Main Author: Natasa ( NIM : 151 12 094), Michelle
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/28909
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:28909
spelling id-itb.:289092018-09-05T09:14:01ZIDENTIFIKASI STRUKTUR DAN TEKSTUR DATA POLARIMETRI SYNTHETIC APERTURE RADAR (SAR) UNTUK MEMPERKIRAKAN KARAKTERISTIK JENDELA MINYAK DI DAERAH VULKANIK Natasa ( NIM : 151 12 094), Michelle Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/28909 <p align="justify">Synthetic Aperture Radar (SAR) technology is a more accurate and efficient approach in hydrocarbon exploration, with the more limited of exploration’s amount taken into account. One of the advantages of SAR image utilization is to detect target object (oil window) on the earth surface based on its physical properties. The region of research is some oil windows in Majalengka-Banyumas area. <br /> The methods that used in this research are polarimetric decomposition and classification to pre-processed SAR image as a way to detect target objects. Polarimetric decomposition method that is used is H-&#945; decomposition with entropy and &#945;-angle as its main parameters. The results of H-&#945; decomposition are images that contain entropy, anisotropy, and &#945;-angle information which indicate the backscattering characteristic based on physical properties of target. Polarimetric classification method that is used is unsupervised polarimetric classification H-&#945; Wishart that divides the results of decomposition into 9 zones of backscaterring mechanism. Then overlay process is done between oil window coordinates and results of polarimetric decomposition and classification to identify oil window’s physical properties. Identification of oil window based on polarimetric decomposition and classification indicates oil window stands in a range of values of entropy, anisotropy, and &#945;-angle also within a backscattering mechanism zone.<p align="justify"> 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">Synthetic Aperture Radar (SAR) technology is a more accurate and efficient approach in hydrocarbon exploration, with the more limited of exploration’s amount taken into account. One of the advantages of SAR image utilization is to detect target object (oil window) on the earth surface based on its physical properties. The region of research is some oil windows in Majalengka-Banyumas area. <br /> The methods that used in this research are polarimetric decomposition and classification to pre-processed SAR image as a way to detect target objects. Polarimetric decomposition method that is used is H-&#945; decomposition with entropy and &#945;-angle as its main parameters. The results of H-&#945; decomposition are images that contain entropy, anisotropy, and &#945;-angle information which indicate the backscattering characteristic based on physical properties of target. Polarimetric classification method that is used is unsupervised polarimetric classification H-&#945; Wishart that divides the results of decomposition into 9 zones of backscaterring mechanism. Then overlay process is done between oil window coordinates and results of polarimetric decomposition and classification to identify oil window’s physical properties. Identification of oil window based on polarimetric decomposition and classification indicates oil window stands in a range of values of entropy, anisotropy, and &#945;-angle also within a backscattering mechanism zone.<p align="justify">
format Final Project
author Natasa ( NIM : 151 12 094), Michelle
spellingShingle Natasa ( NIM : 151 12 094), Michelle
IDENTIFIKASI STRUKTUR DAN TEKSTUR DATA POLARIMETRI SYNTHETIC APERTURE RADAR (SAR) UNTUK MEMPERKIRAKAN KARAKTERISTIK JENDELA MINYAK DI DAERAH VULKANIK
author_facet Natasa ( NIM : 151 12 094), Michelle
author_sort Natasa ( NIM : 151 12 094), Michelle
title IDENTIFIKASI STRUKTUR DAN TEKSTUR DATA POLARIMETRI SYNTHETIC APERTURE RADAR (SAR) UNTUK MEMPERKIRAKAN KARAKTERISTIK JENDELA MINYAK DI DAERAH VULKANIK
title_short IDENTIFIKASI STRUKTUR DAN TEKSTUR DATA POLARIMETRI SYNTHETIC APERTURE RADAR (SAR) UNTUK MEMPERKIRAKAN KARAKTERISTIK JENDELA MINYAK DI DAERAH VULKANIK
title_full IDENTIFIKASI STRUKTUR DAN TEKSTUR DATA POLARIMETRI SYNTHETIC APERTURE RADAR (SAR) UNTUK MEMPERKIRAKAN KARAKTERISTIK JENDELA MINYAK DI DAERAH VULKANIK
title_fullStr IDENTIFIKASI STRUKTUR DAN TEKSTUR DATA POLARIMETRI SYNTHETIC APERTURE RADAR (SAR) UNTUK MEMPERKIRAKAN KARAKTERISTIK JENDELA MINYAK DI DAERAH VULKANIK
title_full_unstemmed IDENTIFIKASI STRUKTUR DAN TEKSTUR DATA POLARIMETRI SYNTHETIC APERTURE RADAR (SAR) UNTUK MEMPERKIRAKAN KARAKTERISTIK JENDELA MINYAK DI DAERAH VULKANIK
title_sort identifikasi struktur dan tekstur data polarimetri synthetic aperture radar (sar) untuk memperkirakan karakteristik jendela minyak di daerah vulkanik
url https://digilib.itb.ac.id/gdl/view/28909
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