Automatic Extraction of Man-Made Objects from Aerial Space Images

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Armin Gruen, Olaf Kuebler, P. Agouris, Peggy Agouris
Springer Science & Business Media, Aug 28, 1995 - Computers - 321 pages
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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Contents

Using Context to Control Computer Vision Algorithms
3
Inferring Homogeneous Regions from Rich Image Attributes
13
Stereo Reconstruction from Multiple Views
23
Model Registration and Validation
33
Automatic Matching of 3D Models to Imagery
43
Structural 3DAnalysis of Aerial Images with a Blackboardbased Production System
53
SemiAutomatic Detection and Extraction of ManMade Objects in Multispectral Aerial and Satellite Images
63
Information Extraction From Digital Images A KTH Approach
73
MidLevel Vision Processes for Automatic Building Extraction
179
Geometric versus Texture Detail in 3D Models of Real World Buildings
189
Use of DTMsDSMs and Orthoimages to Support Building Extraction
199
Data fusion for the detection and reconstruction of buildings
211
Building Extraction and Verification from Spaceborne and Aerial Imagery using Image Understanding Fusion Techniques
221
Accuracy and Productivity Constraint of a Topographic Production Line
231
Tracking Roads in Satellite Images by Playing Twenty Questions
243
New Geometric Stochastic Technology for Finding and Recognizing Roads and Their Features in Aerial Images
255

Linear Feature Extraction with Dynamic Programming and Globally Enforced Least Squares Matching
83
SemiAutomatic Feature Extraction by Snakes
95
From Ziplock Snakes to Velcro Surfaces
105
A Layered Abduction Model of Building Recognition
117
Detection of Buildings from Monocular Images
125
Highresolution Stereo for the Detection of Buildings
135
3D Reconstruction of Urban Scenes from Sequences of Images
145
Automatic Extraction of Buildings and Terrain from Aerial Images
169
Road tracing by profile matching and Kalman filtering
265
ModelBased Road Extraction from Images
275
Automatic Extraction and Structuring of Objects from Scanned Topographical Maps An Alternative to the Extraction from Aerial and Space Images?
287
Cooperative use of aerial images and maps for the interpretation of urban scenes
297
Mapbased semantic modeling for the extraction of objects from aerial images
307
List of Workshop Participants
317
Author Index
321
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