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Automatic Extraction of Man-Made Objects from Aerial Space Images

  • Conference proceedings
  • © 1995

Overview

Editors:
  1. Armin Gruen

    1. Institute of Geodesy & Photogrammetry, ETH-Hoenggerberg, Zürich, Switzerland

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  2. Olaf Kuebler

    1. Communications Technology Laboratory, ETH-Zentrum, Zürich, Switzerland

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  3. Peggy Agouris

    1. Institute of Geodesy & Photogrammetry, ETH-Hoenggerberg, Zürich, Switzerland

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Part of the book series: Monte Verita (MV)

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Table of contents (29 papers)

  1. Front Matter

    Pages i-viii
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  2. General Strategies

    1. Front Matter

      Pages 1-1
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    2. Using Context to Control Computer Vision Algorithms

      • Thomas M. Strat
      Pages 3-12

    3. Inferring Homogeneous Regions from Rich Image Attributes

      • Olof Henricsson
      Pages 13-22

    4. Stereo Reconstruction from Multiple Views

      • P. Fua
      Pages 23-32

    5. Model Registration and Validation

      • Andres Huertas, Mathias Bejanin, Ramakant Nevatia
      Pages 33-42

    6. Automatic Matching of 3-D Models to Imagery

      • Walter Mueller, James Olson
      Pages 43-52

    7. Structural 3D-Analysis of Aerial Images with a Blackboard-based Production System

      • Uwe Stilla, Eckart Michaelsen, Karl Lütjen
      Pages 53-62

    8. Semi-Automatic Detection and Extraction of Man-Made Objects in Multispectral Aerial and Satellite Images

      • Vittala K. Shettigara, Siegfried G. Kempinger, Robert Aitchison
      Pages 63-72

    9. Information Extraction from Digital Images a KTH Approach

      • Eberhard Gülch
      Pages 73-82

    10. Linear Feature Extraction with Dynamic Programming and Globally Enforced Least Squares Matching

      • Armin Gruen, Peggy Agouris, Haihong Li
      Pages 83-94

    11. Semi-Automatic Feature Extraction by Snakes

      • John C. Trinder, Haihong Li
      Pages 95-104

    12. From Ziplock Snakes to Velcro™ Surfaces

      • W. Neuenschwander, P. Fua, G. Székely, O. Kübler
      Pages 105-114

  3. Building Extraction

    1. Front Matter

      Pages 115-115
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    2. A Layered Abduction Model of Building Recognition

      • Toni Schenk
      Pages 117-123

    3. Detection of Buildings from Monocular Images

      • Chungan Lin, Andres Huertas, Ramakant Nevatia
      Pages 125-134

    4. High-resolution Stereo for the Detection of Buildings

      • M. Berthod, L. Gabet, G. Giraudon, J. L. Lotti
      Pages 135-144

    5. 3-D Reconstruction of Urban Scenes from Sequences of Images

      • Olivier Faugeras, Stéphane Laveau, Luc Robert, Gabriella Csurka, Cyril Zeller
      Pages 145-168

    6. Automatic Extraction of Buildings and Terrain from Aerial Images

      • Robert T. Collins, Allen R. Hanson, Edward M. Riseman, Howard Schultz
      Pages 169-178

    7. Mid-Level Vision Processes for Automatic Building Extraction

      • Wolfgang Förstner
      Pages 179-188
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Keywords

About this book

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.

Editors and Affiliations

  • Institute of Geodesy & Photogrammetry, ETH-Hoenggerberg, Zürich, Switzerland

    Armin Gruen, Peggy Agouris

  • Communications Technology Laboratory, ETH-Zentrum, Zürich, Switzerland

    Olaf Kuebler

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