The Study on Water Line Extraction From Time Series of SAR Image

碩士 === 國立中央大學 === 太空科學研究所 === 95 === In this study, we proposed a waterline extraction algorithm using a time series of satellite synthetic aperture radar images over the west coast of Taiwan. First, the data preprocessing, including ortho rectification, geometric correction, radiometric correction,...

Full description

Bibliographic Details
Main Authors: Jing-Teng Lin, 林景騰
Other Authors: 陳錕山
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/96671115360480377324
id ndltd-TW-095NCU05069012
record_format oai_dc
spelling ndltd-TW-095NCU050690122015-10-13T13:59:55Z http://ndltd.ncl.edu.tw/handle/96671115360480377324 The Study on Water Line Extraction From Time Series of SAR Image 時間序列雷達影像於水線萃取之研究 Jing-Teng Lin 林景騰 碩士 國立中央大學 太空科學研究所 95 In this study, we proposed a waterline extraction algorithm using a time series of satellite synthetic aperture radar images over the west coast of Taiwan. First, the data preprocessing, including ortho rectification, geometric correction, radiometric correction, multi-looking, speckle filtering etc.., was devised. Then, a general idea of multi-scale, correlation analyze, edge detection, and mathematics morphology operations were applied to automatic delineate the waterlines. Delineated the waterlines which were later calibrated to the same tidal height if necessary. Verifications were conducted by GPS ground truth and ancillary data from bathymetric maps. It is found that the accuracy of the extracted waterline is about 1 pixel. Finally, preliminary observations of waterlines changes in the period of years of 1996 and 2005 were provided. Among them, Fang-Yuan Sandbar pronouncedly recess itself into a reclaimed land, while Wai-san-ting Sandbar and Hai-feng-dao Sandbar, shrinking in size, move southwardly. 陳錕山 2007 學位論文 ; thesis 121 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中央大學 === 太空科學研究所 === 95 === In this study, we proposed a waterline extraction algorithm using a time series of satellite synthetic aperture radar images over the west coast of Taiwan. First, the data preprocessing, including ortho rectification, geometric correction, radiometric correction, multi-looking, speckle filtering etc.., was devised. Then, a general idea of multi-scale, correlation analyze, edge detection, and mathematics morphology operations were applied to automatic delineate the waterlines. Delineated the waterlines which were later calibrated to the same tidal height if necessary. Verifications were conducted by GPS ground truth and ancillary data from bathymetric maps. It is found that the accuracy of the extracted waterline is about 1 pixel. Finally, preliminary observations of waterlines changes in the period of years of 1996 and 2005 were provided. Among them, Fang-Yuan Sandbar pronouncedly recess itself into a reclaimed land, while Wai-san-ting Sandbar and Hai-feng-dao Sandbar, shrinking in size, move southwardly.
author2 陳錕山
author_facet 陳錕山
Jing-Teng Lin
林景騰
author Jing-Teng Lin
林景騰
spellingShingle Jing-Teng Lin
林景騰
The Study on Water Line Extraction From Time Series of SAR Image
author_sort Jing-Teng Lin
title The Study on Water Line Extraction From Time Series of SAR Image
title_short The Study on Water Line Extraction From Time Series of SAR Image
title_full The Study on Water Line Extraction From Time Series of SAR Image
title_fullStr The Study on Water Line Extraction From Time Series of SAR Image
title_full_unstemmed The Study on Water Line Extraction From Time Series of SAR Image
title_sort study on water line extraction from time series of sar image
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/96671115360480377324
work_keys_str_mv AT jingtenglin thestudyonwaterlineextractionfromtimeseriesofsarimage
AT línjǐngténg thestudyonwaterlineextractionfromtimeseriesofsarimage
AT jingtenglin shíjiānxùlièléidáyǐngxiàngyúshuǐxiàncuìqǔzhīyánjiū
AT línjǐngténg shíjiānxùlièléidáyǐngxiàngyúshuǐxiàncuìqǔzhīyánjiū
AT jingtenglin studyonwaterlineextractionfromtimeseriesofsarimage
AT línjǐngténg studyonwaterlineextractionfromtimeseriesofsarimage
_version_ 1717746662440435712