Onboard processing of hyperspectral data in the remote sensing systems based on hierarchical compression
M.V. Gashnikov, N.I. Glumov

 

Samara National Research University, Samara, Russia,
Image Processing Systems Institute f RAS – Branch of the FSRC “Crystallography and Photonics” RAS, Samara, Russia

Full text of article: Russian language.

Abstract:
The article is devoted to solving the problem of onboard processing of hyperspectral data for subsequent transmission via the communication channels in systems of remote sensing. A compression method based on the hierarchical grid interpolation is used as the basic algorithm of data compression necessary to reduce the amount of transmitted information. In this article, the method is adapted for onboard data processing. The specificity of hyperspectral imaging is taken into account when developing an algorithm of stabilization of the rate of compressed data formation. Computational experiments show that the efficiency of the proposed algorithms is sufficient for the transmission of hyperspectral remote sensing data under the limited capacity of the buffer memory and the communication channel bandwidth.

Keywords:
hyperspectral images, data compression, method of hierarchical grid interpolation, on-Board processing, stabilization of the rate of data stream formation.

Citation:
Gashnikov MV, Glumov NI. Onboard processing of hyperspectral data in the remote sensing systems based on hierarchical compression. Computer Optics 2016; 40(4): 543-551. DOI: 10.18287/2412-6179-2016-40-4-543-551.

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