博碩士論文 87322026 詳細資訊




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姓名 林乘逸( Cheng-Yi LIN)  查詢紙本館藏   畢業系所 土木工程學系
論文名稱 高解析力衛星影像控制點座標之自動化萃取
(Automated Extraction of Control Points for High Spatial Resolution Satellite Images)
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摘要(中) 數位影像處理的過程可分五個部分,一、道路特徵之萃取,以分離衛星影像中道路面的可能資訊為目的,產生二元特徵影像;二、細部雜訊之消除,以降低特徵影像中的雜訊並進行特徵區塊編碼為目的,產生特徵區塊影像;三、道路特徵區塊之辨識,以辨識特徵區塊影像中的道路特徵區塊為目的,產生道路特徵區塊影像;四、道路特徵區塊形態之修正,以修正道路特徵區塊形態提供符合人類認知的道路資訊為目的,產生道路二元影像;五、道路交會口交點之搜尋,以輸出道路交會口交點位置為衛星影像之一個控制點為目的,產生一組控制點座標。
透過上述的數位影像處理步驟,在挑選高解析力衛星影像控制點時,便能夠降低人工介入的程度,迅速、確實的自動化萃取高解析力衛星影像控制點座標。
摘要(英) The high spatial resolution satellite images have widely attracted the attention in the remote sensing community recently. It is obvious that one of the great challenges to process the high spatial resolution satellite images will be the geometric correction practice. Conventionally, the positioning of the image control points is manually performed by a labor-intensive and time-consuming procedure. The practicable experience indicates that the qualified image control points would be the points with striking features such as the road intersection. Thus, due to the abundant image contents, high spatial resolution satellite image would have plenty of the qualified control points. As a result, the manual identification and positioning of control points will become even more inefficient and unbearable. Therefore, the main objective of this study aims to develop an automated image processing technique to extract the control points for the high spatial resolution satellite images. Among numerous spatial features, this study considers road intersection the main target to perform the control point extraction. The proposed image-processing algorithm consists of three steps. The first step is designed to segment the image and produce the feature image. The second step is proposed to extract roadblock features from the feature image. The third step is planned to locate the center position of the roadblock. A series of high spatial resolution satellite images are used to test the proposed method. The preliminary results shows that the proposed image processing approach has the potential to automatically position the control points in the high spatial resolution satellite image.
關鍵字(中) ★ 道路
★ 控制點
★ 高解析力衛星影像
關鍵字(英) ★ Road
★ Control Point
★ High Spatial Resolution Ima
論文目次 目 錄
摘要1
ABSTRACTII
目 錄III
圖目錄V
表目錄X
第一章 序論1
1-1 研究動機與研究目的1
1-2 研究分析與文獻探討3
1-3 處理流程與研究架構9
第二章 研究方法11
2-1 道路特徵之萃取11
2-2 細部雜訊之消除19
2-3 道路特徵區塊之辨識25
2-4 道路特徵區塊形態之修正30
2-5 道路交會口交點位置之搜尋40
第三章 實驗資料49
3-1 航空照片影像49
3-2 高解析力衛星影像53
第四章 實驗成果55
4-1 測試成果56
4-2 成果討論70
4-3 精度評估73
第五章 結論與建議89
5-1 實驗結論89
5-2 未來建議91
參考文獻93
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指導教授 陳繼藩(Chi-Farn Chen) 審核日期 2001-7-16
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