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Titlebook: Automatic Extraction of Man-Made Objects from Aerial and Space Images (II); Armin Gruen,Emmanuel P. Baltsavias,Olof Henricsson Conference

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發(fā)表于 2025-3-21 19:50:14 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)
影響因子2023Armin Gruen,Emmanuel P. Baltsavias,Olof Henricsson
視頻videohttp://file.papertrans.cn/167/166419/166419.mp4
學(xué)科分類Monte Verita
圖書封面Titlebook: Automatic Extraction of Man-Made Objects from Aerial and Space Images (II);  Armin Gruen,Emmanuel P. Baltsavias,Olof Henricsson Conference
影響因子Advancements in digital sensor technology, digital image analysis techniques, as well as computer software and hardware have brought together the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms. The potential for mutual benefits by the close collaboration and interaction of these two disciplines is great, as photogrammetric know-how can be aided by the most recent image analysis developments in computer vision, while modern quantitative photogrammetric approaches can support computer vision activities. Devising methodologies for automating the extraction of man-made objects (e.g. buildings, roads) from digital aerial or satellite imagery is an application where this cooperation and mutual support is already reaping benefits. The valuable spatial information collected using these interdisciplinary techniques is of improved qualitative and quantitative accuracy. This book offers a comprehensive selection of high-quality and in-depth contributions from world-wide leading research institutions, treating theoretical as well as implementational issues, and representing the state-of-the-art on this subjec
Pindex Conference proceedings 1997
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書目名稱Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)影響因子(影響力)




書目名稱Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)影響因子(影響力)學(xué)科排名




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TOBAGO — a topology builder for the automated generation of building modelsnd and third step the concrete topological relations between roof points are investigated and generic building models are fitted to the point clouds. Based on the technique of constraint-based reasoning two geometrical parsers are solving this problem..We have tested the methodology under a variety
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Conference proceedings 1997ues is of improved qualitative and quantitative accuracy. This book offers a comprehensive selection of high-quality and in-depth contributions from world-wide leading research institutions, treating theoretical as well as implementational issues, and representing the state-of-the-art on this subjec
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https://doi.org/10.1007/978-3-642-36708-3nd and third step the concrete topological relations between roof points are investigated and generic building models are fitted to the point clouds. Based on the technique of constraint-based reasoning two geometrical parsers are solving this problem..We have tested the methodology under a variety
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Springer Texts in Business and Economicsching and the reconstruction of 3D sharp ridges..Experimental results obtained on real data show the interest of crestlines for improving the robustness of feature extraction when a minimal input dataset is used.
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Armin Gruen,Emmanuel P. Baltsavias,Olof Henricsson
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