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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 2, pp. 9-17

A review of existing compression algorithms for data received from multispectral scanning devices

V.R. Pechkurova 1, 2 
1 Bauman Moscow State Technical University, Moscow, Russia
2 JSC Russian Space Systems, Moscow, Russia
Accepted: 20.11.2020
DOI: 10.21046/2070-7401-2021-18-2-9-17
The issue of compression of data received from remote sensing devices is not new. A large number of engineers and researchers work on its correct formulation, seek ways to address it and search for solutions to problems arising from it. This genuine interest is caused by the increase in the amount of data processed, both on board the spacecrafts and on the ground. The increase in data volumes, in turn, is associated with the inevitable increase in quality, expansion of technical and software capabilities of devices and devices that explore the Earth from space. At the moment, most of the data received from remote sensing devices can still be sent without on-board compression to ground reception points; however, there is a high probability that in the future the data transmission line capacity will not allow sending raw data without processing, without additional compression. An interesting area of research is related specifically to data compression from multispectral scanning equipment. This type of compression can take into account the correlation of data from different sectors. The paper discusses aspects of existing data compression algorithms for multispectral scanning equipment and hyperspectral images. Some available sources are analyzed in order to identify the current and future possibilities of data compression on board space-based remote sensing systems.
Keywords: remote sensing, satellite, multi- and hyperspectral data, multispectral scanning, data compression, compression of multispectral data, lossless compression
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