| 期刊全稱 | Automatic Extraction of Man-Made Objects from Aerial Space Images | | 影響因子2023 | Armin Gruen,Olaf Kuebler,Peggy Agouris | | 視頻video | http://file.papertrans.cn/167/166418/166418.mp4 | | 學(xué)科分類(lèi) | Monte Verita | | 圖書(shū)封面 |  | | 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 1995 |
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