1 April 2002 Class-prioritized compression of multispectral imagery data
Author Affiliations +
Abstract
A joint classification-compression scheme that provides the user with added capability to prioritize classes of interest in the compression process is proposed. The dual compression system includes a primary unit for conventional coding of a multispectral image set followed by an auxiliary unit to code the resulting error induced on pixel vectors that represent classes of interest. This technique effectively allows classes of interest in the scene to be coded at a relatively higher level of precision than nonessential classes. Prioritized classes are selected from a thematic map or directly specified by their unique spectral signatures. Using the specified spectral signatures of the prioritized classes as end members, a modified linear spectral unmixing procedure is applied to the original data as well as to the decoded data. The resulting two sets of concentration maps, which represent classes prioritized before and after compression, are compared and the differences between them are coded via an auxiliary compression unit and transmitted to the receiver along with a conventionally coded image set. At the receiver, the differences found are blended back into the decoded data for enhanced restoration of the prioritized classes. The utility of this approach is that it works with any multispectral compression scheme. This method has been applied to test the imagery from various platforms including NOAA’s AVHRR (1.1 km GSD), and LANDSAT 5 TM (30 m GSD), LANDSAT 5 MSS (79 m GSD).
© (2002) Society of Photo-Optical Instrumentation Engineers (SPIE)
John A. Saghri, Andrew G. Tescher, Mohamed J. Omran, "Class-prioritized compression of multispectral imagery data," Journal of Electronic Imaging 11(2), (1 April 2002). https://doi.org/10.1117/1.1455008 . Submission:
JOURNAL ARTICLE
11 PAGES


SHARE
Back to Top