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題名 多時相干涉雷達監測建物變形及評估驅動因素—以臺北市為例
Observing Building Deformation and Assessing Driving Factors Based on Multi-Temporal SAR Interferometry: A Case Study in Taipei City作者 藍振維
Lan, Chen-Wei貢獻者 林士淵
Lin, Shih-Yuan
藍振維
Lan, Chen-Wei關鍵詞 建物變形
合成孔徑雷達
永久散射體合成孔徑雷達差分干涉
邏輯斯迴歸
Building deformation
Synthetic Aperture Radar
PS-InSAR
Logistic Regression日期 2019 上傳時間 5-Sep-2019 17:00:16 (UTC+8) 摘要 為了城市中人民生命及財產的安全,實施例行性及長期的建物及基礎設施的健康監測是一項基本的任務。考慮到合成孔徑雷達(Synthetic Aperture Radar, SAR)影像具有大範圍空間及時間涵蓋的特性,本研究提出使用臺北市的時間序列SAR影像來觀測建物形變。本研究利用長時間序列之高解析度COSMO-SkyMed影像,並使用永久散射體合成孔徑雷達差分干涉(PS-InSAR)技術偵測地表建物變形,得到2011年五月至2013年七月之臺北市內大範圍變形成果。為得知建物變形與週遭環境因素的關係,本研究搜集人為及自然環境因素,使用邏輯斯迴歸(Logistic Regression)來了解環境因子與地表變形之關係。經迴歸模型成果指出,人為因素(如施工捷運路線、高架道路、新建工地)及自然環境因素(土壤液化潛勢)會增加建物下沉的機率。
To secure life and property in cities, regular and long-term monitoring of health status of building and infrastructure is a basic task. Considering the wide spatial and temporal coverage of spaceborne Synthetic Aperture Radar (SAR) data, we proposed to collect time-series SAR image data over Taipei City to observe building displacement. For which, ultra-high spatial resolution X-band COSMO-SkyMed acquired from 2011/05 to 2013/07 was used. A PS-InSAR technique was then conducted to obtain the displacement in Taipei City. After the results were verified, we then tried to realize the relationship between the subsidence deformation and environment. To this end, we collected man-made environmental and natural factors and applied a Logistic Regression to analyze their interactions with building displacements. 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(2014). Building Collapse. Retrieved December 5, 2018 from https://www.SARPROZ.com/building-collapse/Perissin, D. (2016). SARPROZ software manual. Retrieved December 5, 2018 from http://ihome.cuhk.edu.hk/~ b122066/manual/index.htmlService, F. O. (2019). Buildings Insurance: Subsidence. Retrieved December 5, 2018 from https://www.financialombudsman.org.uk/publications/technical_notes/building-subsidence.html 描述 碩士
國立政治大學
地政學系
106257030資料來源 http://thesis.lib.nccu.edu.tw/record/#G0106257030 資料類型 thesis dc.contributor.advisor 林士淵 zh_TW dc.contributor.advisor Lin, Shih-Yuan en_US dc.contributor.author (Authors) 藍振維 zh_TW dc.contributor.author (Authors) Lan, Chen-Wei en_US dc.creator (作者) 藍振維 zh_TW dc.creator (作者) Lan, Chen-Wei en_US dc.date (日期) 2019 en_US dc.date.accessioned 5-Sep-2019 17:00:16 (UTC+8) - dc.date.available 5-Sep-2019 17:00:16 (UTC+8) - dc.date.issued (上傳時間) 5-Sep-2019 17:00:16 (UTC+8) - dc.identifier (Other Identifiers) G0106257030 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/125779 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 地政學系 zh_TW dc.description (描述) 106257030 zh_TW dc.description.abstract (摘要) 為了城市中人民生命及財產的安全,實施例行性及長期的建物及基礎設施的健康監測是一項基本的任務。考慮到合成孔徑雷達(Synthetic Aperture Radar, SAR)影像具有大範圍空間及時間涵蓋的特性,本研究提出使用臺北市的時間序列SAR影像來觀測建物形變。本研究利用長時間序列之高解析度COSMO-SkyMed影像,並使用永久散射體合成孔徑雷達差分干涉(PS-InSAR)技術偵測地表建物變形,得到2011年五月至2013年七月之臺北市內大範圍變形成果。為得知建物變形與週遭環境因素的關係,本研究搜集人為及自然環境因素,使用邏輯斯迴歸(Logistic Regression)來了解環境因子與地表變形之關係。經迴歸模型成果指出,人為因素(如施工捷運路線、高架道路、新建工地)及自然環境因素(土壤液化潛勢)會增加建物下沉的機率。 zh_TW dc.description.abstract (摘要) To secure life and property in cities, regular and long-term monitoring of health status of building and infrastructure is a basic task. Considering the wide spatial and temporal coverage of spaceborne Synthetic Aperture Radar (SAR) data, we proposed to collect time-series SAR image data over Taipei City to observe building displacement. For which, ultra-high spatial resolution X-band COSMO-SkyMed acquired from 2011/05 to 2013/07 was used. A PS-InSAR technique was then conducted to obtain the displacement in Taipei City. After the results were verified, we then tried to realize the relationship between the subsidence deformation and environment. To this end, we collected man-made environmental and natural factors and applied a Logistic Regression to analyze their interactions with building displacements. It was revealed that man-made factor (such as MRT routes, sites under construction, elevated road and construction sites) and natural factors (soil liquefaction) may have greater chance to effect subsidence phenomenon. en_US dc.description.tableofcontents 謝誌 I摘要 IIABSTRACT III目錄 IV圖目錄 VI表目錄 IX第一章 緒論 1第一節 研究背景與動機 1第二節 研究目的 5第三節 研究流程 6第四節 章節架構 8第二章 理論基礎與文獻回顧 9第一節 建物觀測及沉降現象 9第二節 建物變形觀測方法 11第三節 合成孔徑雷達變形監測技術 23第三章 建物監測方法成果與檢核 35第一節 研究區域 35第二節 資料選取 39第三節 研究工具 41第四節 PS-INSAR處理流程 42第五節 PS-INSAR處理成果 43第四章 建物變形驅動因素評估 57第一節 變形資料及因素蒐集處理 57第二節 邏輯斯迴歸 67第三節 邏輯斯迴歸成果 68第五章 環境因子與PS點分布分析 77第一節 交通建設 77第二節 建造工地 84第六章 結論與建議 87第一節 結論 87第二節 建議 89參考文獻 91 zh_TW dc.format.extent 9539136 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0106257030 en_US dc.subject (關鍵詞) 建物變形 zh_TW dc.subject (關鍵詞) 合成孔徑雷達 zh_TW dc.subject (關鍵詞) 永久散射體合成孔徑雷達差分干涉 zh_TW dc.subject (關鍵詞) 邏輯斯迴歸 zh_TW dc.subject (關鍵詞) Building deformation en_US dc.subject (關鍵詞) Synthetic Aperture Radar en_US dc.subject (關鍵詞) PS-InSAR en_US dc.subject (關鍵詞) Logistic Regression en_US dc.title (題名) 多時相干涉雷達監測建物變形及評估驅動因素—以臺北市為例 zh_TW dc.title (題名) Observing Building Deformation and Assessing Driving Factors Based on Multi-Temporal SAR Interferometry: A Case Study in Taipei City en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 中文參考文獻吳姵瑾,2017。以持久性散射體雷達干涉分析抽取地下水引起之地表變形──以臺北盆地捷運工程為例。國立臺灣大學地質科學研究所碩士論文:臺北市。周鋒泯,2009。應用永久散射體差分干涉法觀測台灣北部地區之地表變形。國立中央大學地球物理研究所碩士論文:桃園縣。張喭汝,2015。利用持久散射體差分干涉法研究臺北盆地地下水升降引起的地表變形。國立臺灣大學地質科學研究所碩士論文:臺北市。李嶸泰、張嘉琪、詹勳全、廖珮妤、洪雨柔,2012。 應用羅吉斯迴歸法進行阿里山地區山崩潛勢評估。中華水土保持學報,43(2),頁 167-176。林銘軒,2012。臺北盆地水文地質架構及地層下陷之探討。臺灣大學臺灣大學地質科學研究所碩士論文:臺北市。王怡方,2013。利用永久散射體差分干涉法監測臺北盆地與山腳斷層之地表變形研究。中國文化大學地學研究所地質組碩士論文:臺北市。王淳璟,2015。結合衛星雷達與GPS觀測資料分析北台灣地表變形。國立中央大學地球科學學系碩士論文:桃園縣。范凱婷,2012。臺北盆地及周圍山區之現今地表變形研究。國立中央大學地球物理研究所碩士論文:桃園縣。謝嘉聲,2006。以雷達干涉技術偵測地表變形之研究。博士論文-- 國立交通大學土木工程系所國立交通大學土木工程系博士論文。鄧屬予,2006。 臺北盆地之地質研究。西太平洋地質科學,6,頁 1-28。闕河淵、黃南輝、郭金源,1997。 臺北盆地地下水位分佈與施工降水影響之探討。地工技術(63),頁 23-32。外文參考文獻Abidin, H. 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