博碩士論文 91322084 詳細資訊




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姓名 賴彥中(Yen-Chung Lai)  查詢紙本館藏   畢業系所 土木工程學系
論文名稱 結合光達資料與數位空照影像重建三維建物模型
(Fusion of LIDAR Data and Aerial Imagery for Building Reconstruction)
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摘要(中) 本研究從資訊融合角度出發,結合光達資料及數位化彩色空照影像進行三維建物模型之重建。本研究分成兩個部分,第一部份是房屋區塊偵測,第二部份是房屋模型重建。
房屋區塊偵測部分,依原始光達資料之高度資訊,判別出地上物區域。利用空照影像之色彩分析,將地上物區域之樹木部分去除。殘餘之區塊設定一面積門檻,將面積過小之區塊濾除。之後進行區塊形狀以及表面分析,去除不合理之區塊,房屋區塊即建立完成。
房屋模型重建部分,首先進行光達資料前處理,預估出概略屋緣位置,同時萃取出位於屋頂平面之光達點。將預估之概略屋緣位置投影至空照影像上,設定工作區域,在此區域內進行精確之直線偵測。所得之直線線段組合成房屋之候選屋頂面,搭配前處理中萃取出之光達點進行屋頂面之判別與高度計算後,投影回物空間獲得三維之屋頂面,最終結合SMS方法建立房屋模型。研究中使用新竹科學園區之光達資料及大比例尺數位空照影像進行測試。
摘要(英) From the viewpoint of data fusion, we integrate LIDAR data and digital aerial image to perform 3D building modeling in this study. The proposed scheme comprises two major parts: (1) building block detection and (2) building model reconstruction.
In the first step, height differences from LIDAR data are analyzed to detect the above ground areas. Color analysis is then performed for the exclusion of tree areas. Remaining regions are restricted by area threshold. After the refinement by shape and texture analysis, building blocks are established.
In the second step, we analyze the height information of LIDAR raw data to estimate the approximate roof-edges and extract the LIDAR points located on the rooftop. Based on the approximate roof-edges, accurate 2D edges are calculated in aerial image and then transformed into candidate roof-planes. Combined with the extracted LIDAR points, the correct roof-planes are selected and projected back to object space as 3D roof-planes. At last, a patented method SMS (Split-Merge-Shape) is employed to generate building models using the 3D roof-planes. LIDAR data and large scale aerial image in Hsin-Chu Science-based Industrial Park of north Taiwan were used in the test.
關鍵字(中) ★ 光達
★ 數位空照影像
★ 房屋偵測
★ 房屋重建
★ 房屋模型
關鍵字(英) ★ LIDAR
★ aerial image
★ building detection
★ building reconstruction
★ building model
論文目次 摘要 i
ABSTRACT ii
目錄 iii
圖目錄 vi
表目錄 ix
第一章 前言 1
1.1 研究動機與目的 1
1.2 文獻回顧 3
1.3 研究構想與流程 6
1.3.1 房屋區塊偵測 6
1.3.2 房屋模型重建 8
第二章 房屋區塊偵測 12
2.1 光達資料網格化 13
2.2 高度分析 14
2.3 色彩分析 15
2.4 面積分析 17
2.5 形狀分析 18
2.6 表面分析 18
第三章 房屋模型重建 20
3.1 模型重建輸入資料 21
3.2 光達資料前處理 22
3.2.1 概略屋緣預估 22
3.2.2 屋頂平面光達點萃取 24
3.3 精確屋緣線段偵測 25
3.3.1 工作區域建立 26
3.3.2 影像之平滑處理 27
3.3.3 梯度強度影像偵測 28
3.3.4 細化及線追蹤 29
3.3.5 直線偵測 31
3.4 候選屋頂面建立 34
3.5 屋頂面判別與高度計算 35
3.5.1 候選房屋屋頂面之判別 36
3.5.2 候選屋頂面之高度計算與合併 38
3.6 房屋模型重建 40
第四章 研究成果與討論 42
4.1 研究資料簡介 42
4.2 研究流程中各門檻值之討論 43
4.2.1 房屋區塊偵測部分 43
4.2.2 房屋模型重建部分 45
4.3 房屋區塊偵測成果與討論 47
4.3.1 測試區資料套合評估 48
4.3.2 房屋區塊偵測成果 49
4.3.3 房屋區塊精度評估 54
4.3.4 房屋區塊偵測成果討論 57
4.4 房屋模型重建成果與討論 63
4.4.1 測試區一房屋模型重建成果 65
4.4.2 測試區一房屋模型正確率評估 66
4.4.3 測試區一房屋模型精度評估 68
4.4.4 測試區一房屋模型成果討論 70
4.4.5 測試區二房屋模型成果與討論 82
第五章 結論與建議 86
參考文獻 88
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指導教授 陳良健(Liang-Chien Chen) 審核日期 2004-7-8
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