Spatial information retrieval and geographical ontologies an overview of the SPIRIT project
- Christopher B. Jones, R. Purves, R. Weibel
- Computer ScienceAnnual International ACM SIGIR Conference on…
- 11 August 2002
A brief survey of existing facilities for geographical information retrieval on the web is provided, before describing a set of tools and techniques that are being developed in the project SPIRIT : Spatially-Aware Information Retrieval on the Internet.
Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges
- Songnian Li, S. Dragićević, T. Cheng
- Computer ScienceArXiv
- 10 November 2015
Optimization approaches for generalization and data abstraction
- Monika Sester
- Computer ScienceInternational Journal of Geographical Information…
- 1 September 2005
An overview on current approaches for the automation of generalization and data abstraction is given, and solutions for three generalization problems based on optimization techniques based on Neural Network techniques are presented.
Multi-stage approach to travel-mode segmentation and classification of gps traces
- Lijuan Zhang, S. Dalyot, D. Eggert, Monika Sester
- Computer Science
- 30 August 2012
A qualitative classification of travel-modes is presented, thus introducing new robust and precise capabilities for the problem at hand.
GENERALIZATION BASED ON LEAST SQUARES ADJUSTMENT
- Monika Sester
- Computer Science
- 2000
The paper presents solutions for generalization problems using least squares adjustment theory, a well known general framework to determine unknown parameters based on given observations, and demonstrates the validity of this approach to the simplification of building ground plans and the displacement of arbitrary cartographic objects.
Integration of GPS traces with road map
- Lijuan Zhang, F. Thiemann, Monika Sester
- Computer ScienceInternational Workshop Computational…
- 2 November 2010
This paper presents a method for integrating GPS traces and an existing out of copyright road map towards a more accurate, up-to-data and detailed road map.
Augmented paper maps: Exploring the design space of a mixed reality system
- V. Paelke, Monika Sester
- Computer Science
- 1 May 2010
Learning Cartographic Building Generalization with Deep Convolutional Neural Networks
- Yu Feng, F. Thiemann, Monika Sester
- Computer ScienceISPRS Int. J. Geo Inf.
- 30 May 2019
The results indicate that deep learning models can successfully learn cartographic generalization operations in one single model in an implicit way, and the residual U-net outperforms the others and achieved the best generalization performance.
A generative statistical approach to automatic 3D building roof reconstruction from laser scanning data
- Hai Huang, C. Brenner, Monika Sester
- Computer Science
- 1 May 2013
Area Collapse and Road Centerlines based on Straight Skeletons
- J. Haunert, Monika Sester
- Computer ScienceGeoInformatica
- 1 June 2008
An automatic method for the derivation of road centerlines from a cadastral dataset, which uses special characteristics of the straight skeleton, is shown.
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