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

ISBN-13: 9783764357887 / Angielski / Twarda / 1997 / 396 str.

Gruen; A. Gruen; E. P. Baltsavias

Opis

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.

Spis treści

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.