Geographic spatiotemporal big data correlation analysis via the Hilbert–Huang transformation

作者：

Highlights：

• An effective analysis of traditional corresponding methods' weakness.

• A novel instantaneous frequency representation of geographic spatiotemporal big based on HHT.

• A novel correlation analysis based on KL divergence.

• An effective analysis of experiment.

摘要

•An effective analysis of traditional corresponding methods' weakness.•A novel instantaneous frequency representation of geographic spatiotemporal big based on HHT.•A novel correlation analysis based on KL divergence.•An effective analysis of experiment.

论文关键词：Big data,Remote sensing,Correlation analysis,Sparse representation

论文评审过程：Received 14 January 2016, Revised 15 March 2017, Accepted 16 May 2017, Available online 7 June 2017, Version of Record 7 August 2017.

论文官网地址：https://doi.org/10.1016/j.jcss.2017.05.010