An Analysis Method of Moving Object Trajectories Based on Data Dimensionality Reduction
WU Cong
CUI Jun
SHI Weifeng
Abstract：Big data is another technological revolution in information technology domain ,has highlighted the potential applications in the military field .Due to the wide application of various types of sensors ,a large number of moving object trajectories has been collected .But the data is volume ,complicated and fast changing ,traditional data analysis and mining is no longer applicable in many ways .According to the actual application requirements ,with big data representation and sens‐ing algorithms ,a method of hot region extraction and similarity measures for trajectory databases is proposed ,which im‐proves the computational efficiency and practicability .
Keywords：trajectory analysisbig data representationcompressed sensinghot regiontrajectory similarity
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 35-39,74 )