Semi-Automatic Building Reconstruction from Multi-Overlapping Aerial Images
碩士 === 國立中央大學 === 土木工程研究所 === 91 === This investigation utilizes a semi-automated strategy to extract outlines for buildings from aerial images. First, we perform manual operation to locate the rough position for building corners in an image to obtain the approximate coordinates. Subsequently, accur...
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ndltd-TW-091NCU050150492016-06-22T04:14:29Z http://ndltd.ncl.edu.tw/handle/38470949860154664909 Semi-Automatic Building Reconstruction from Multi-Overlapping Aerial Images 多重疊航照立體對半自動房屋模型重建 Guam-Hua Wang 王冠華 碩士 國立中央大學 土木工程研究所 91 This investigation utilizes a semi-automated strategy to extract outlines for buildings from aerial images. First, we perform manual operation to locate the rough position for building corners in an image to obtain the approximate coordinates. Subsequently, accurate coordinates of those buildings may be reached by the proposed scheme. The procedures of the proposed scheme are described as follows. 1.The orientation parameters of the images are derived first. Then, rough initial locations for approximate building corners in the object space are given manually. The initial edges of those buildings are then projected to the image space. 2.We provide the approximate height of each building, then project to the overlapping aerial images. The predicted line segments for building outlines are then used to perform the feature detection. 3.An image matching procedure is applied for those conjugate line segments. 4.After performing space intersection, we calculate the 3-D line segments for buildings. The building model is, thus, generated. For reconstructing 3D model of buildings, the results show that the procedure we proposed is applicable for those buildings with good edge features. Liang-Chien Chen 陳良健 2003 學位論文 ; thesis 87 zh-TW |
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Others
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碩士 === 國立中央大學 === 土木工程研究所 === 91 === This investigation utilizes a semi-automated strategy to extract outlines for buildings from aerial images. First, we perform manual operation to locate the rough position for building corners in an image to obtain the approximate coordinates. Subsequently, accurate coordinates of those buildings may be reached by the proposed scheme. The procedures of the proposed scheme are described as follows.
1.The orientation parameters of the images are derived first. Then, rough initial locations for approximate building corners in the object space are given manually. The initial edges of those buildings are then projected to the image space.
2.We provide the approximate height of each building, then project to the overlapping aerial images. The predicted line segments for building outlines are then used to perform the feature detection.
3.An image matching procedure is applied for those conjugate line segments.
4.After performing space intersection, we calculate the 3-D line segments for buildings. The building model is, thus, generated.
For reconstructing 3D model of buildings, the results show that the procedure we proposed is applicable for those buildings with good edge features.
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author2 |
Liang-Chien Chen |
author_facet |
Liang-Chien Chen Guam-Hua Wang 王冠華 |
author |
Guam-Hua Wang 王冠華 |
spellingShingle |
Guam-Hua Wang 王冠華 Semi-Automatic Building Reconstruction from Multi-Overlapping Aerial Images |
author_sort |
Guam-Hua Wang |
title |
Semi-Automatic Building Reconstruction from Multi-Overlapping Aerial Images |
title_short |
Semi-Automatic Building Reconstruction from Multi-Overlapping Aerial Images |
title_full |
Semi-Automatic Building Reconstruction from Multi-Overlapping Aerial Images |
title_fullStr |
Semi-Automatic Building Reconstruction from Multi-Overlapping Aerial Images |
title_full_unstemmed |
Semi-Automatic Building Reconstruction from Multi-Overlapping Aerial Images |
title_sort |
semi-automatic building reconstruction from multi-overlapping aerial images |
publishDate |
2003 |
url |
http://ndltd.ncl.edu.tw/handle/38470949860154664909 |
work_keys_str_mv |
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