Conference material: "Proceedings of the International Conference on Computer Graphics and Vision “Graphicon” (23-26 September 2019, Bryansk)"
Regular methods for coding of raster images of remote sensing of Earth
The work is devoted to the consideration of the issues of eliminating information redundancy of raster data of remote sensing of the Earth (RDRSE), including the latest hyperspectral data (HSD). The characteristic properties of raster hyperspectral images (RHSI) are listed, a brief description of the existing methods of RDRSE compression is given. The possibility of using local, homogeneous 'well-adapted' basic functions (LHWABF) to eliminate information redundancy and adaptive compression of RDRSE is considered. An algorithm for constructing a LHWABF system for the RHSI based on the Chebyshev approximation is proposed. The results of computational experiments are given. The effectiveness of the proposed method of adaptive compression RHSI is shown.
raster images, adaptive data compression, constructive methods for the formation of basic functions, remote sensing of the Earth, raster data of remote sensing, hyperspectral raster images of remote sensing