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Multi-resolution out-of-core modeling of terrain and teological data
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Source Geographic Information Systems archive
Proceedings of the 13th annual ACM international workshop on Geographic information systems table of contents
Bremen, Germany
SESSION: Data structures, computational geometry table of contents
Pages: 143 - 152  
Year of Publication: 2005
ISBN:1-59593-146-5
Authors
Emanuele Danovaro  Universit࣑ di Genova-Via Dodecaneso, Genova, Italy & University of Maryland-College Park, MD
Leila De Floriani  Universit࣑ di Genova-Via Dodecaneso, Genova, Italy & University of Maryland-College Park, MD
Enrico Puppo  Universit࣑ di Genova-Via Dodecaneso, Genova, Italy
Hanan Samet  University of Maryland-College Park, MD
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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ABSTRACT

Multi-resolution is a useful tool for managing the complexity of huge terrain and geological data sets. Since encoding large data sets may easily exceed main memory capabilities, data structures and algorithms capable of efficiently working in external memory are needed. In our work, we aim at developing an out-of-core multi-resolution model dimension-independent, that can be used for both terrains, represented by Triangulated Irregular Networks(TINs), and 3D data, such as geological data, represented by tetrahedral meshes. We have based our approach on a general multi-resolution model, that we have proposed in our previous work, which supports the extraction of variable-resolution representations. As first step, we have developed, in a prototype simulation system, a large number of clustering techniques for the modifications in a multi-resolution model. Here, we describe such techniques, and analyze and evaluate them experimentally. The result of this investigation has led us to select a specific clustering approach as the basis for an efficient out-of-core data structure.


REFERENCES

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Collaborative Colleagues:
Emanuele Danovaro: colleagues
Leila De Floriani: colleagues
Enrico Puppo: colleagues
Hanan Samet: colleagues