Semantic Modeling for the Acquisition of Topographic Information from Images and Maps SMATI 97

Name: Semantic Modeling for the Acquisition of Topographic Information from Images and Maps SMATI 97
Price: 5.09 USD
Availability: InStock
ISBN: 9783764357580

ISBN-10: 3764357584

ISBN-13: 9783764357580

Edition: 1997

Authors: Wolfgang Fï¿½rstner, Lutz Plumer

List price: $109.99

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Description:

Acquiring spatial data for geoinformation systems is still mainly done by human operators who analyze images using classical photogrammetric equipment or digitize maps, possibly assisted by some low level image processing. Automation of these tasks is difficult due to the complexity of the object, the topography, and the deficiency of current pattern recognition and image analysis tools for achieving a reliable transition from the data to the high level description of topographic objects. It appears that progress in automation only can be achieved by incorporating domain-specific semantic models into the analysis procedures. This volume collects papers which were presented at the Workshop…

Book details

List price: $109.99
Copyright year: 1997
Publisher: Springer Basel AG
Publication date: 5/1/1997
Binding: Hardcover
Pages: 231
Size: 7.01" wide x 10.00" long x 0.75" tall
Weight: 2.530
Language: English



Knowledge Based Interpretation of Aerial Images and Maps Using a Digital Landscape Model as Partial Interpretation



A New Approach for Satellite Image Analysis by Means of a Semantic Network



Two Level Image Interpretation Based on Markov Random Fields



Cartographic Displacement Using the Snakes Concept



Multi-Level Comparative Analysis of Spatial Operators in GIS and Remote Sensing as a Foundation for an Integrated GIS



Methods of Data Interpretation - Applied to Model Generalization from Large to Medium Scale



A Semantic Road Model for Aerial Image Interpretation



Road Modeling Based on a Cartographic Database for Aerial Image Interpretation



Multi-Resolution, Semantic Objects, and Context for Road Extruction



Integration of 2D and 3D Reasoning for Building Reconstruction Using a Generic Hierarchical Model



Systematic Acquisition 3D Building Model Knowledge



Building Recognition with Bayesian Networks



Model-Based Surface Recovery of Buildings in Optical and Ranges Images