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

  • Armin Gruen
  • Emmanuel P. Baltsavias
  • Olof Henricsson
Conference proceedings

Part of the Monte Verità book series (MV)

Table of contents

  1. Front Matter
    Pages I-IX
  2. General Topics and Scene Reconstruction

  3. Building Detection and Reconstruction

    1. Front Matter
      Pages 63-63
    2. R. Nevatia, C. Lin, A. Huertas
      Pages 77-86
    3. D. Frère, M. Hendrickx, J. Vandekerckhove, T. Moons, L. Van Gool
      Pages 87-96
    4. Scott Mason, Emmanuel Baltsavias
      Pages 97-108
    5. Luuk Spreeuwers, Klamer Schutte, Zweitze Houkes
      Pages 109-118
    6. Zhongchao Shi, Ryosuke Shibasaki, Shunji Murai
      Pages 119-128
    7. Yves Léchervy, Christian Louis, Olivier Monga
      Pages 161-171
    8. Franck Jung, Bruno Jedynak, Donald Geman
      Pages 173-182
    9. Olivier Dissard, Caroline Baillard, Henri Maître, Olivier Jamet
      Pages 183-192
    10. Jan-Peter Muller, Chrystelle Ourzik, Taejung Kim, Ian Dowman
      Pages 233-242
  4. Road Extraction

    1. Front Matter
      Pages 243-243
    2. Carsten Steger, Helmut Mayer, Bernd Radig
      Pages 245-256
    3. John C. Trinder, Yandong Wang, Arcot Sowmya, Maziar Palhang
      Pages 257-266
    4. George Vosselman, Marlies de Gunst
      Pages 267-276
    5. Meir Barzohar, Moshe Cohen, Ilan Ziskind, David B. Cooper
      Pages 277-286
    6. Armin Gruen, Haihong Li
      Pages 287-298
    7. A. Baumgartner, W. Eckstein, H. Mayer, C. Heipke, H. Ebner
      Pages 299-308
  5. Map/GIS-Based Methods

  6. Visualisation

  7. Back Matter
    Pages 387-396

About these proceedings

Introduction

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.

Keywords

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

Editors and affiliations

  • Armin Gruen
    • 1
  • Emmanuel P. Baltsavias
    • 1
  • Olof Henricsson
    • 1
  1. 1.Institute of Geodesy & PhotogrammetryETH HönggerbergZürichGermany

Bibliographic information