A knowledge framework for spatial data multi-scale representation and processing

Aiqin Li; Deren Li; Jianya Gong; Yi Deng; Jinsong Sun

doi:10.1117/12.815595

29 December 2008 A knowledge framework for spatial data multi-scale representation and processing

Aiqin Li, Deren Li, Jianya Gong, Yi Deng, Jinsong Sun

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72852A (2008) https://doi.org/10.1117/12.815595
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

This paper details a simple knowledge framework, so as to set up a scale-independent spatial database, or so called multi-scaling GIS, for the efficient organization and management of spatial database as well as for multi-scale representation and analysis. GIS is not only the tool for map storage and production but more importantly, GIS is the effective means used for accessing the real word from the map. The framework emphasizes those different thematic feature classes play different roles in the range of different scales and have different effects in the multi-scale representation and processing. Propose multi-grade modeling representation rules based on thematic models in a variety of professional fields, as well as knowledge framework of multiscale representation and processing based on spatial feature classification structure and parameter table.

Citation Download Citation

Aiqin Li, Deren Li, Jianya Gong, Yi Deng, and Jinsong Sun "A knowledge framework for spatial data multi-scale representation and processing", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72852A (29 December 2008); https://doi.org/10.1117/12.815595

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