研究不同資源衛星影像之匹配與套合

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姓名

劉銘哲(Ming-Che Liu) 查詢紙本館藏

畢業系所

土木工程學系

論文名稱

研究不同資源衛星影像之匹配與套合
(Study on Image Matching and Registration for Different Resource Satellite Images)

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摘要(中)

隨著科技的進步與衛星的多元化，影像套合在遙感探測領域中的影像處理方面是一個非常基本的應用，並且重要性不斷提高，後續應用包括了影像融合、變遷偵測以及影像鑲嵌等方面。因此，本論文將利用尺度不變特徵轉換、Canny特徵萃取、最小二乘匹配法等技術，進行不同遙測影像成功匹配與套合方法之研究。
首先利用人工點選或是利用尺度不變特徵轉換運算元的方式，尋找主影像與附屬影像之間的初始對應關係，接著分別利用Canny運算元萃取兩張影像的邊緣，並且利用邊界盒清理較破碎的邊緣後，利用成本函數進行邊緣點匹配。接著以匹配成功的初始共軛點為中心開?影像窗，進行影像分塊與輻射參數校正的步驟，主影像窗與校正後之附屬影像窗以最小二乘匹配法進行進一步的定位。最後將所有共軛點對利用薄板樣條法，並結合粗差濾除與方差分量估計建立套合影像。實驗結果顯示利用此方法可成功套合不同的資源衛星影像。

摘要(英)

Image registration is a key issue in many image processing applications in remote sensing. Examples of these applications include change detection using multiple images acquired at different times, and fusion of image data from multiple sensor types.
SIFT (Scale Invariant Feature Transform), Canny edge detector and Least-squares matching method are proposed in this research. At first, the initial matching point pairs are detected from manual adjustment or the SIFT algorithm, which is invariant to image scale and rotation. And then, edges in both images are located by using the Canny algorithm and petty contours are cleaned by a bounding-box. Furthermore, more matching point pairs are selected using a cost function that measures the gradient orientation and distance between all possible pairs of the points. Pairing image windows are built and segmented to get radiometric parameters, and the radiometric parameters are used here to modulate the slave image window. Finally, master image window and modulated slave image window are matched by least-squares matching, and control points are found. The Thin-Plate Splines (TPS) method is used to register master and slave images. Experimental results show that numerous matching points can be obtained correctly and automatically, and different satellite images can be registered precisely.

關鍵字(中)

★ 衛星影像
★ 影像套合
★ 影像匹配

關鍵字(英)

★ Image matching
★ Satellite images
★ Image registration

論文目次

中文摘要 I
英文摘要 II
致謝辭 III
目錄 IV
圖目錄 VI
表目錄 IX
第一章緒論 1
1-1 研究動機 1
1-2 文獻回顧 2
1-3 論文架構 5
第二章特徵萃取 7
2-1 尺度不變特徵轉換 (SIFT) 運算元 7
2-1-1 尺度空間極值偵測 8
2-1-2 特徵點定位與篩選 11
2-1-3 特徵點方位指定 13
2-1-4 特徵點描述向量建立 15
2-2 Canny運算元與邊緣清理 16
2-2-1 Canny運算元 17
2-2-2 邊緣清理 19
第三章影像匹配 21
3-1 尺度不變特徵轉換點匹配 21
3-2 Canny邊緣點匹配 22
3-3 區域匹配 24
3-3-1 影像分塊 25
3-3-2 輻射參數調整 27
3-3-3 最小二乘法匹配 29
3¬-4 人工校正 34
3-5 粗差濾除 35
第四章影像套合 39
4-1 薄板樣條法 39
4-2 方差分量估計 42
第五章實驗成果與分析 45
5-1 相同來源影像 46
5-2 輻射分布近似影像(I) 49
5-3 輻射分布近似影像(II) 58
5-4 輻射分布近似影像(III) 66
5-5 輻射分布不同影像 74
5-6 高程差較大影像 80
第六章結論與建議 90
6-1 結論 90
6-2 建議 91
參考文獻 92
附錄A SPOT-5衛星 97
附錄B 福衛二號衛星 99

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指導教授

吳究(Joz Wu)

審核日期

2008-7-16

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