Automatic Extraction of Man-Made Objects from Aerial Space Images / Edition 1

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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.

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Product Details

  • ISBN-13: 9783764352646
  • Publisher: Birkhauser Basel
  • Publication date: 8/28/1995
  • Series: Monte Verita Series
  • Edition description: 1995
  • Edition number: 1
  • Pages: 323
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.81 (d)

Table of Contents

General Strategies.- Using Context to Control Computer Vision Algorithms.- Inferring Homogeneous Regions from Rich Image Attributes.- Stereo Reconstruction from Multiple Views.- Model Registration and Validation.- Automatic Matching of 3-D Models to Imagery.- Structural 3D-Analysis of Aerial Images with a Blackboard-Based Production System.- Semi-Automatic Detection and Extraction of Man-Made Objects in Multispectral Aerial and Satellite Images.- Information Extraction from Digital Images — A KTH Approach.- Linear Feature Extraction with Dynamic Programming and Globally Enforced Least Squares Matching.- Semi-Automatic Feature Extraction by Snakes.- From Ziplock Snakes to Velero™ Surfaces.- Building Extraction.- A Layered Abduction Model of Building Recognition.- Detection of Buildings from Monocular Images.- High-Resolution Stereo for the Detection of Buildings.- 3-D Reconstruction of Urban Scenes from Sequences of Images.- Automatic Extraction of Buildings and Terrain from Aerial Images.- Mid-Level Vision Processes for Automatic Building Extraction.- Geometrie Versus Texture Detail in 3-D Models of Real World Buildings.- Use of DTMs/DSMs and Orthoimages to Support Building Extraction.- Data Fusion for the Detection and Reconstruction of Buildings.- Building Extraction and Verification from Spaceborne and Aerial Imagery Using Image Understanding Fusion Techniques.- Building Extraction from Stereo Pairs of Aerial Images: Accuracy and Productivity Constraint of a Topographic Production Line.- Road Extraction.- Tracking Roads in Satellite Images by Playing Twenty Questions.- New Geometric Stochastic Technology for Finding and Recognizing Roads and Their Features in Aerial Images.- Road Tracing by Profile Matching and Kaiman Filtering.- Model-Based Road Extraction from Images.- Map-Based Extraction.- Automatic Extraction and Structuring of Objects from Scanned Topographical Maps — An Alternative to the Extraction from Aerial and Space Images?.- Cooperative Use of Aerial Images and Maps for the Interpretation of Urban Scenes.- Map-Based Semantic Modeling for the Extraction of Objects from Aerial Images.- List of Workshop Participants.- Author Index.
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