Acta Geodaetica et Cartographica Sinica >

2017 , Vol. 46 >Issue 10: 1492 - 1499

DOI: https://doi.org/10.11947/j.AGCS.2017.20170376

Research Status and Prospect of Spatiotemporal Fusion of Multi-source Satellite Remote Sensing Imagery

  • HUANG Bo ,
  • ZHAO Yongquan
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  • 1. Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China;
    2. Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China;
    3. Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China

Received date: 2017-07-03

  Revised date: 2017-09-14

  Online published: 2017-10-26

Supported by

The National Natural Science Foundation of China (No. 41371417)

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Abstract

High spatial resolution monitoring of land surface and atmospheric environment dynamics requires high spatiotemporal resolution satellite remote sensing imagery as data support. However, the efficient, low-cost, and feasible solution is to blend the multi-source images with high-spatial and high-temporal resolution respectively to produce the desired high spatiotemporal resolution imagery required by different research or applications, which is subject to the limitations of satellite sensor' hardware technology and the budget constraints of launching more satellites. Although plenty of spatiotemporal image fusion research has been conducted, they are limited to specific data types, algorithm principles, application purposes, etc. Furthermore, the development of spatiotemporal image fusion algorithm presents a phenomenon of disorder. This study summarizes and generalizes the existing mainstream spatiotemporal fusion methods and classified them into four categories:①spatiotemporal fusion based on land components; ②spatiotemporal fusion based on spatial information; ③spatiotemporal fusion based on temporal changes; ④combined spatiotemporal fusion. Meanwhile, the study analyzes the problems and challenges faced by spatiotemporal fusion; and informs the prospects of the future development of spatiotemporal fusion method.

Key words： multi-source remote sensing imagery; spatiotemporal resolution compromise; spatiotemporal fusion; land component; spatial information; temporal change

Cite this article

HUANG Bo , ZHAO Yongquan . Research Status and Prospect of Spatiotemporal Fusion of Multi-source Satellite Remote Sensing Imagery[J]. Acta Geodaetica et Cartographica Sinica, 2017 , 46(10) : 1492 -1499 . DOI: 10.11947/j.AGCS.2017.20170376

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