Adaptive clustering for hyperspectral sounder data compression
Irina Gladkova, Leonid M. Roytman, Mitchell D. Goldberg · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
In this paper, which is part of an ongoing sequence of papers devoted to the subject of efficient noise-tolerant lossless compression of satellite data for transmission, we describe an algorithm for this purpose which effectively addresses the above criteria. Our algorithm exhibit the potential to achieve noise-tolerant compression ratios averaging 3.2 : 1. An earlier approach, which we presented at Third GOES-R User Conference in May of 2004, was the first such method to break the 3 to 1 compression barrier for this class of data.