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Designing spatial-temporal-spectral integrated storage structure of multi-dimensional remote sensing images

  • role： First author第一作者
  • Affiliation：

    The Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

  • Email：zhanglf@radi.ac.cn
  • Introduction：张立福(1967—    )，男，研究员，研究方向为高光谱遥感。E-mail：zhanglf@radi.ac.cn
ZHANG Lifu1,  
  • Affiliation：

    The Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

CHEN Hao12,  
  • Affiliation：

    The Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

SUN Xuejian1,  
  • Affiliation：

    The Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

FU Dongjie1,  
  • Affiliation：

    The Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

TONG Qingxi1

реферат

The techniques of satellite remote sensing has been providing massive remote sensing data, however there’s no integrated storage structure specially designed for the characters of remote sensing’s multi-dimensions. In this context, a method of organizing multi-dimensional remote sensing data is proposed, and an integrated storage structure of SPAtial-Temporal-Spectral (SPATS) multi-dimensional remote sensing images is designed with five multi-dimensional storage format defined: Temporal Sequential in Band (TSB)、Temporal Sequential in Pixel (TSP)、Temporal Interleaved by Band (TIB)、Temporal Interleaved by Pixel (TIP) and Temporal Interleaved by Spectrum (TIS). In addition, Based on this structure, a multi-dimensional data analysis module, namely MDA, is designed, which could implement the SPATS integrated storage of long time-series remote sensing imagery, perform data analysis and display, and build temporal image cubes of a variety of spectral indices, providing a solution of organizing data for the synthesis and characterization of SPATS multi-dimensional remote sending images.

ключеви́че слова́

remote sensing;integrated storage;multi-dimensional data structure;SPATS;MDA

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