Skip to content

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

Spend $50 to get a free DVD!

ISBN-10: 3764357584

ISBN-13: 9783764357580

Edition: 1997

Authors: Wolfgang F�rstner, Lutz Plumer

List price: $149.00
Blue ribbon 30 day, 100% satisfaction guarantee!
Out of stock
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

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…    
Customers also bought

Book details

List price: $149.00
Copyright year: 1997
Publisher: Springer
Publication date: 5/1/1997
Binding: Hardcover
Pages: 231
Size: 7.00" wide x 9.50" long x 0.75" tall
Weight: 1.430
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