19 September 1997 Data characterization for hyperspectral image compression
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Abstract
By their very nature, hyperspectral imagers collect much more data per pixel than more traditional imaging systems. With bandwidth limitations on the communications channels and storage space, intelligent system design, band selection, and/or data compression will be very important. In two recent government-funded studies (completed in Dec. 1996), Kodak developed two preliminary compression options for hyperspectral imaging. As part of these studies, the band-to- band data correlation structures for both AVIRIS and HYDICE hyperspectral imaging systems were evaluated. Some surprising results were noted that have important implications to system designers.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rulon E. Simmons, Rulon E. Simmons, Bernard V. Brower, Bernard V. Brower, John R. Schott, John R. Schott, } "Data characterization for hyperspectral image compression", Proc. SPIE 3119, Multispectral Imaging for Terrestrial Applications II, (19 September 1997); doi: 10.1117/12.278946; https://doi.org/10.1117/12.278946
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