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研究生:徐偉城
研究生(外文):Wei-Chen Hsu
論文名稱:空照彩色立體像對中人工建築物萃取之研究
論文名稱(外文):Building Extraction from Color Aeial Stereo Photo Pairs
指導教授:陳良健
學位類別:碩士
校院名稱:國立中央大學
系所名稱:土木工程研究所
學門:工程學門
學類:土木工程學類
論文出版年:1999
畢業學年度:87
語文別:中文
論文頁數:68
中文關鍵詞:數值攝影測量特徵萃取影像匹配CLR匹配法
外文關鍵詞:Digital photogrammetryFeature extractionImage matchingCLR matching
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三維地理資料的重要性日益增加,其對如三維都市模型、景觀模擬、無線電基地台之選址等均極重要。以目前台灣的地理條件和科技發展,航空攝影測量仍為最重要的製圖方法。但隨著科技發達,其做法也從類比航測進步到解析航測,目前更朝向自動化的數值航測進行。目前雖然已能自動化的處理空中三角測量,但在地物的自動測繪方面,仍然不能得到令人滿意的成果。因此人工建築物的自動化重建,是目前數值攝影測量的重要研究課題。
由於人工建築物是直立於地表上的地物,具有相當的特性,因此要自動化的重建,就必須盡量的萃取出其特徵資訊,包括點、線、面及其高程。本研究使用空照彩色立體像對,針對像空間中房屋特徵進行萃取。主要利用影像灰度值和幾何條件的性質:先進行色彩模型轉換,分離不同之光譜反應值,並以區塊成長法萃取均調之屋頂面,再結合邊緣線偵測的結果,以本研究所提出之「邊緣線強度極大值法」找出屋角點之位置,並決定房屋之外型。最後使用本研究設計之「CLR特徵匹配法」,求得房屋邊界之視差,並檢核萃取之合理性。
Three dimensional geographic data is getting important. For those applications such as 3-D city model, landscape visualization, selection of base station for telecommunication, the topographic data is indispensable. Photogrammetric mapping technology is still the major approach for 3-D topographic mapping. The technology has evolved from analogue to analytical one and now toward automation. In the automation, aerial triangulation has been successful and in operation. On the other hand, the automated determination for ground object is still in the early stage. Reconstruction of man-made building, in particular, is the major task in the photogrammetric automation. Contrary to natural objects, man-made buildings are with regular boundaries and elevation drops. Thus, it is needed to extract corner points, edges, regions, and elevation distribution in reconstruction for man-made buildings. This investigation uses aerial color stereoscopic images to reconstruct those buildings. Considering spectral and geometric characteristics, the components of the reconstruction are: (1)color transformation, (2)region growing, (3)edge detection, and (4)corner detection. Finally, we develop a “CLR matching” algorithm to determine and to validate the disparities for the building boundaries.
表目錄…………………………………………………………I
圖目錄…………………………………………………………II
摘要(中文)…………………………………………………IV
摘要(英文)…………………………………………………V
第一章 前言
1-1 研究動機與目的……………………………1
1-2 文獻回顧……………………………………2
1-3 研究方法與流程……………………………4
1-4 論文架構……………………………………6
第二章 人工建築物之特徵萃取
2-1 色彩模型轉換………………………………8
2-1-1 RGB色彩模型………………………………9
2-1-2 ISH色彩模型……………………………10
2-1-3 CIE Lab色彩模型………………………12
2-2 區塊成長…………………………………14
2-3 邊緣線之偵測……………………………15
2-4 屋角點之偵測與房屋形狀之建立…………17
第三章 影像匹配
3-1 相似性評估之指標…………………………24
3-1-1 最小灰度值差匹配法……………………25
3-1-2 標準化互相關匹配法……………………26
3-2 CLR特徵匹配法……………………………27
第四章 實驗成果與分析
4-1 實驗影像基本資料…………………………31
4-2 影像前處理…………………………………31
4-3 人工建築物之特徵萃取……………………34
4-3-1 色彩模型轉換……………………………34
4-3-2 區塊成長…………………………………34
4-3-3 邊緣線之偵測……………………………39
4-3-4 屋角點之偵測……………………………41
4-4 影像匹配……………………………………48
4-4-1 RGB與Intensity影像之比較……………49
4-4-2 單視窗與三視窗CLR方式之比較…………50
4-4-3 CLR匹配方式之精度檢核…………………57
4-5 房屋邊界之視差值計算……………………58
第五章 結論與建議……………………………63
參考文獻…………………………………………65
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