A survey of remote-sensing big data

We have entered an era of big data. It is popular to refer to the three Vs when characterizing big data: remarkable growths in the volume, velocity and variety of data. However, this statement is too general. Remote-sensing big data has several concrete and special characteristics: multi-source, multi-scale, high-dimensional, dynamic-state, isomer, and non-linear characteristics. This survey explains these characteristics in detail. Furthermore, according to whether the characteristics are closely related to the instruments or methods of data acquisition, we points out that the dynamic-state, multi-scale and non-linear characteristics are intrinsic characteristics of remote-sensing big data while the multi-source, high-dimensional and isomer characteristics are extrinsic characteristics of remote- sensing big data. In addition, we briefly review promising techniques and applications of remote-sensing big data.

• Publication year

  2015

• Venue

  Frontiers in Environmental Science

• Publication date

  2015-06-01

• Fields of study

  Geography, Computer Science, Environmental Science

• Identifiers
  DOI 10.3389/fenvs.2015.00045
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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