Hyperpectral Images: Compression, Visualization and Band Ordering

نویسنده

  • Bruno Carpentieri
چکیده

Airborne and space-borne acquired hyperspectral images are used to recognize objects and to classify materials on the surface of the earth. The state of the art compressor for lossless compression of hyperspectral images is the SLSQ compressor. In this paper we discuss hyperspectral image compression: we show how to visualize each band of an hyperspectral image and how this visualization suggests that an appropriate band ordering can lead to improvements in the compression process. Our preliminary experiments with band ordering show the potential of a 3 to 5% improvement in the SLSQ

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تاریخ انتشار 2011