JP3D compression of solar data-cubes: Photospheric imaging and spectropolarimetry

详细信息    查看全文

• 作者：Dario Del Moro ; Luca Giovannelli ; Ermanno Pietropaolo…
• 关键词：Hyperspectral compression ; JPEG2000 ; JP3D ; Lossless compression ; Solar data ; Remote sensing
• 刊名：Experimental Astronomy
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：43
• 期：1
• 页码：23-37
• 全文大小：
• 刊物类别：Physics and Astronomy
• 刊物主题：Astronomy, Observations and Techniques; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences;
• 出版者：Springer Netherlands
• ISSN：1572-9508
• 卷排序：43

文摘

Hyperspectral imaging is an ubiquitous technique in solar physics observations and the recent advances in solar instrumentation enabled us to acquire and record data at an unprecedented rate. The huge amount of data which will be archived in the upcoming solar observatories press us to compress the data in order to reduce the storage space and transfer times. The correlation present over all dimensions, spatial, temporal and spectral, of solar data-sets suggests the use of a 3D base wavelet decomposition, to achieve higher compression rates. In this work, we evaluate the performance of the recent JPEG2000 Part 10 standard, known as JP3D, for the lossless compression of several types of solar data-cubes. We explore the differences in: a) The compressibility of broad-band or narrow-band time-sequence; I or V Stokes profiles in spectropolarimetric data-sets; b) Compressing data in [x,y, λ] packages at different times or data in [x,y,t] packages of different wavelength; c) Compressing a single large data-cube or several smaller data-cubes; d) Compressing data which is under-sampled or super-sampled with respect to the diffraction cut-off.