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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63839完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 朱子豪 | |
| dc.contributor.author | Tsu-Shiu Wang | en |
| dc.contributor.author | 王祖修 | zh_TW |
| dc.date.accessioned | 2021-06-16T17:20:31Z | - |
| dc.date.available | 2013-08-19 | |
| dc.date.copyright | 2012-08-19 | |
| dc.date.issued | 2012 | |
| dc.date.submitted | 2012-08-17 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63839 | - |
| dc.description.abstract | 傳統在於景觀格局分析或土地利用調查方面，雖已開始大量使用遙測資料作為輔助，但仍大量採用主觀人工判釋，其主因為目前針對地物觀察多採用高空間及輻射解析度影像，此一影像特性為可顯著判釋地物，但針對需要歸納之均質判釋成果，便易因解析度提高，而增加成果雜異度，特別以都市地區因地物所涵蓋之空間面積更需要由高解析度影像做判釋，且其均質尺度較非都市地區低，故是否除人工現地調查外能有針對地物（覆蓋狀況）做快速且有效之調查成果，本研究初步採用地真資料（人工判釋）作為驗證，並採用近年所發展物件導向影像分類分析方法，由兩者建立景觀格局分析研究素材之方式，探討傳統建置資料方法之改善，且檢討遙測影像分類若需落實於景觀格局分析之模式如何建立，預期以分類方法改善作為未來提供景觀格局分析或土地利用調查方面等快速補充及應用資料，減少現地調查成本，並期待在針對都市地區遙測影像分類作為土地使用觀察技術之改進。 | zh_TW |
| dc.description.abstract | Traditional studies on landscape pattern analysis and land use survey have used a large amount of remotely sensed data as the auxiliaries. However, most studies still use subjective manual interpretation because imagery with high spatial and radiometric resolution is commonly used. High-resolution imagery is beneficial for land features interpretation while also increases heterogeneity of interpretation results which is unfavorable to induce homogeneous interpretation results. This issue is especially important for studies in urban areas because numerous small and heterogeneous land features exist. Thus, it is crucial to develop an efficient approach for urban land (cover) investigation to improve the existing manual interpretation approach. This study uses object-based image analysis (OBIA) to classify land features in the urban area and validate the classified results with ground truth from manual interpretation. The classified results and the ground truth data are both analyzed with landscape pattern analysis to validate the results and discuss the improvement of OBIA. This study also discusses how to develop the complete approach of landscape pattern analysis workable for remotely sensed image classification results. The proposed approach could improve the existing manual processing for landscape pattern analysis or land use survey by providing data more efficiently and decreasing the cost of land use/cover investigation. The developed approach could also facilitate urban studies concerning land use/cover classification with remote sensing imagery. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T17:20:31Z (GMT). No. of bitstreams: 1 ntu-101-P98228001-1.pdf: 12934110 bytes, checksum: 6a996fc4b1da408b95a859a8ab58c92b (MD5) Previous issue date: 2012 | en |
| dc.description.tableofcontents | 第一章 緒論 1
第一節 研究動機 1 第二節 研究目的 2 第二章 文獻回顧 3 第一節 物件式遙測影像分析方法（OBIA） 3 第二節 景觀格局分析 10 第三節 小結 16 第三章 研究方法 18 第一節 研究架構 18 第二節 研究方法與流程 19 第三節 研究範圍 20 第四節 影像分類與處理操作說明 22 第五節 影像分割尺度定義 28 第四章 多尺度分割與影像分類 30 第一節 物件分割尺度設計 31 第二節 多尺度物件分割建立 34 第三節 最短距離法影像分類 39 第四節 影像分類成果驗證 40 第五節 影像處理成果評估 48 第六節 小結 53 第五章 景觀格局資料建立與景觀格局指數驗證 55 第一節 景觀格局資料建立 55 第二節 景觀格局指數比較 57 第三節 景觀格局指數整體比較統計 65 第四節 小結 69 第六章 結論與建議 71 第一節 結論 71 第二節 建議 74 參考文獻 78 附錄一 訓練樣區特徵因子 84 一、水體（訓練樣區） 84 二、植披（訓練樣區） 85 三、空地（訓練樣區） 86 四、建物（訓練樣區） 87 五、道路（訓練樣區） 88 附錄二 人工判釋檢核點紀錄 89 附錄三 樣區景觀格局指標計算成果 97 | |
| dc.language.iso | zh-TW | |
| dc.subject | 物件式遙測影像分析 | zh_TW |
| dc.subject | 影像分類 | zh_TW |
| dc.subject | 景觀格局分析 | zh_TW |
| dc.subject | image classification | en |
| dc.subject | landscape pattern analysis | en |
| dc.subject | object-based image analysis | en |
| dc.title | 利用物件式分類技術建立都市景觀格局分析資料--以臺北市南港、內湖區為例 | zh_TW |
| dc.title | Creating Urban Landscape Analysis Data with Object-Based Image Analysis--Case Studies in Nangang District and Neihu District, Taipei City | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 100-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 黃倬英,李瑞陽 | |
| dc.subject.keyword | 景觀格局分析,影像分類,物件式遙測影像分析, | zh_TW |
| dc.subject.keyword | landscape pattern analysis,image classification,object-based image analysis, | en |
| dc.relation.page | 108 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2012-08-17 | |
| dc.contributor.author-college | 理學院 | zh_TW |
| dc.contributor.author-dept | 地理環境資源學研究所 | zh_TW |
| 顯示於系所單位： | 地理環境資源學系 | |
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