Architecture Of System For Configurable GIS Data Compression
Abstract
The paper deals with formal description of data transformation (compression
and decompression process). An adaptive compression tool for different data
types (both raster and vector), that is based on finite automata, is introduced.
When using distributed geographic information system (GIS), data of different
types has to be transmitted. The introduced tool enables flexible changes of
compression method and selective loss control during compression process.
Finite automata are discussed for several dictionary and other string-based
compression methods. Application of one dimensional compression methods in the
field of computer graphics is discussed.