成像光谱技术中机上实时数据压缩方法研究

Study of a real-time data compression method in imaging spectroscopy

根据成像光谱仪的特点用一系列串行的一维压缩实现二维图像压缩.提出了在机上对原始数据从光谱方向进行实时压缩的“二真值线性预测方法”.该法可做到压缩/复原后光谱特征信息不丢失.实验表明,对大多数光谱数据在1%的重建精度下,至少可获得2:1的压缩比.从总体而言,压缩后原始数据率可降低3～4倍.文中还对压缩数据的编码和误差进行了讨论.

According to the feature of imaging spectrometer, compression of a two-dimension Image is converted into a series of one dimension processings. A real-time 'two-true-value linear prediction method' has been developed to have the ability of on-board compressing the original data in the spectrum direction. This method can preserve absorption peak information during compression/decompression process. The results show that for most spectra at least 2:1 compression ratio has been obtained under 1% reconstruction accuracy, on an average the original data rate can be reduced by 3-4 limes. The art for coding compressing data, and the decom ression error has also been described.