摘要: We describe recent improvements to the Optical Real-time Adaptive Spectral Identification System (ORASIS). The NEMO satellite will use ORASIS as a compression algorithm and first pass analysis algorithm. One improvement concerns quantization aspect of ORASIS. In this step, hyperspectral data are put through process that creates set spectra (called exemplars) represent entire within specified error tolerance. Each exemplar has high dimensional "sphere" influence. Any sphere replaced by reference exemplar. However, spheres tend overlap. Results improved selection optimum second is method relates sensor noise characteristics spectral angle. parameters can be used calculate an tolerance, for each spectrum, dependent upon shape intensity. This provides physical justification
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