Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)

1. Front Matter

   Pages I-IX

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2. General Topics and Scene Reconstruction

   1. Front Matter

      Pages 1-1

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   2. An Overview of DARPA’s Research Program in Automatic Population of Geospatial Databases

      • Thomas M. Strat, Douglas Climenson

      Pages 3-12

   3. A Testbed for the Evaluation of Feature Extraction Techniques in a Time Constrained Environment

      • James J. Pearson, Louis A. Oddo

      Pages 13-22

   4. The Role of Artificial Intelligence in the Reconstruction of Man-made Objects from Aerial Images

      • Frank Ade

      Pages 23-32

   5. Scene reconstruction research — towards an automatic system

      • Frank Stolle, Allen Hanson, Christopher Jaynes, Edward Riseman, Howard Schultz

      Pages 33-42

   6. Semantic Modelling of Man-Made Objects by Production Nets

      • Uwe Stilla, Eckart Michaelsen

      Pages 43-52

   7. From large-scale DTM extraction to feature extraction

      • J. Loodts

      Pages 53-62

3. Building Detection and Reconstruction

   1. Front Matter

      Pages 63-63

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   2. 3-D Building Reconstruction with ARUBA: A Qualitative and Quantitative Evaluation

      • Olof Henricsson, Emmanuel Baltsavias

      Pages 65-76

   3. A System for Building Detection from Aerial Images

      • R. Nevatia, C. Lin, A. Huertas

      Pages 77-86

   4. On the reconstruction of urban house roofs from aerial images

      • D. Frère, M. Hendrickx, J. Vandekerckhove, T. Moons, L. Van Gool

      Pages 87-96

   5. Image-Based Reconstruction of Informal Settlements

      • Scott Mason, Emmanuel Baltsavias

      Pages 97-108

   6. A model driven approach to extract buildings from multi-view aerial imagery

      • Luuk Spreeuwers, Klamer Schutte, Zweitze Houkes

      Pages 109-118

   7. Automated Building Extraction from Digital Stereo Imagery

      • Zhongchao Shi, Ryosuke Shibasaki, Shunji Murai

      Pages 119-128

   8. Application of Semi-Automatic Building Acquisition

      • Eberhard Gülch

      Pages 129-138

   9. On the Integration of Object Modeling and Image Modeling in Automated Building Extraction from Aerial Images

      • Volker Steinhage

      Pages 139-148

   10. TOBAGO — a topology builder for the automated generation of building models

       • Armin Gruen, Hanbin Dan

       Pages 149-160

   11. Crestlines contribution to the automatic building extraction

       • Yves Léchervy, Christian Louis, Olivier Monga

       Pages 161-171

   12. Recognizing Buildings in Aerial Images

       • Franck Jung, Bruno Jedynak, Donald Geman

       Pages 173-182

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 subject among the photogrammetric and computer vision communities.

• Cartopgraphy
• Computer Science
• Computer Vision
• Electrical Engineering
• GIS
• Photometry
• Remote Sensing
• algorithms
• image analysis

• Institute of Geodesy & Photogrammetry, ETH Hönggerberg, Zürich, Germany

  Armin Gruen, Emmanuel P. Baltsavias, Olof Henricsson

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