Automatic extraction of man-made objects from aerial and space images
著者
書誌事項
Automatic extraction of man-made objects from aerial and space images
（Monte verità : proceedings of the Centro Stefano Franscini Ascona）
Birkhäuser Verlag, 1995-1997
- [1]: gw
- [1]: us
- 2
- 2
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注記
Papers presented at the workshop of project AMOBE
v.2:edited by A.Gruen, E.P. Baltsavias, O. Henricsson
Includes bibliographical references and index
内容説明・目次
- 巻冊次
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[1]: gw ISBN 9783764352646
内容説明
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.
目次
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 (TM) 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.
- 巻冊次
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2 ISBN 9783764357887
内容説明
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.
目次
General Topics and Scene Reconstruction.- An Overview of DARPA's Research Program in Automatic Population of Geospatial Databases.- A Testbed for the Evaluation of Feature Extraction Techniques in a Time Constrained Environment.- The Role of Artificial Intelligence in the Reconstruction of Man-Made Objects from Aerial Images.- Scene Reconstruction Research - Towards an Automatic System.- Semantic Modelling of Man-Made Objects by Production Nets.- From Large-Scale DTM Extraction to Feature Extraction.- Building Detection and Reconstruction.- 3-D Building Reconstruction with ARUBA: A Qualitative and Quantitative Evaluation.- A System for Building Detection from Aerial Images.- On the Reconstruction of Urban House Roofs from Aerial Images.- Image-Based Reconstruction of Informal Settlements.- A Model Driven Approach to Extract Buildings from Multi-View Aerial Imagery.- Automated Building Extraction from Digital Stereo Imagery.- Application of Semi-Automatic Building Acquisition.- On the Integration of Object Modeling and Image Modeling in Automated Building Extraction from Aerial Images.- TOBAGO - A Topology Builder for the Automated Generation of Building Models.- Crestlines Constribution to the Automatic Building Extraction.- Recognizing Buildings in Aerial Image.- Above-Ground Objects in Urban Scenes from Medium Scale Aerial Imagery.- Digital Surface Models for Building Extraction.- Extracting Artificial Surface Objects from Airborne Laser Scanner Data.- Interpretation of Urban Surface Models using 2D Building Information.- Least Squares Matching for Three Dimensional Building Reconstruction.- Assessment of the Effects of Resolution on Automated DEM and Building Extraction.- Road Extraction.- The Role of Grouping for Road Extraction.- Artificial Intelligence in 3-D Feature Extraction.- Updating Road Maps by Contextual Reasoning.- Fast Robust Tracking of Curvy Partially Occluded Roads in Clutter in Aerial Images.- Linear Feature Extraction with 3-D LSB-Snakes.- Context-Supported Road Extraction.- Map/GIS-Based Methods.- Three-Dimensional Description of Dense Urban Areas using Maps and Aerial Images.- MOSES: A Structural Approach to Aerial Image Understanding.- An Approach for the Extraction of Settlement Areas.- Extraction of Polygonal Features from Satellite Images for Automatic Registration: The ARCHANGEL Project.- Visualisation.- A Set of Visualization Data Needs in Urban Environmental Planning & Design for Photogrammetric Data.- A Virtual Reality Model of a Major International Airport.- Managing Large 3D Urban Database Contents Supporting Phototexture and Levels of Detail.- List of Workshop Participants.- Author Index.
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