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- W2574574322 abstract "Of primary importance in the use of digital maps is to find an effective data compression method that permits the data to be stored compactly and reproduced easily beause digital maps normaly consist of a large amount of data. In this paper, a new method is proposed for data compression of coastline data in digital maps based on the best approximation to cubic spline functions with their knot positions optimized relative to the approximation errors by using a modified dynamic programming. This method based on the modified dynamic programming can shorten the CPU time to calculate the approximation functions in comparison with one based on the ordinary dynamic programming without substantially increasing the approximation errors." @default.
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- W2574574322 date "1984-01-01" @default.
- W2574574322 modified "2023-10-17" @default.
- W2574574322 title "Spline Approximation of Coastlines in Digital Maps" @default.
- W2574574322 doi "https://doi.org/10.9749/jin.71.139" @default.
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