GPS Data Lossy Compression Algorithm Based on Least Squares Fitting Method
Cao We · Geospatial Information · 2013
In order to solve the problem of mass GPS tracking data storage, this paper presented a lossy compression algorithm based on least square fitting method. The real GPS data were compressed and restored. The restored data and real data were compared. The results show that the compression ratio and the accuracy of the restored data are improved effectively.