摘要
在双色散结构编码孔径光谱成像系统(DD-CASSI)的基础上,提出了利用多帧采样图方法(Multi Frame-DD-CASSI),以提高信息采样率,并提出新的数学模型,实现了对三维数据立方体的光谱维压缩编码,充分利用了光谱维数据的相关性,利用32帧采样图恢复数据,达到了0.99的光谱曲线相似度和40 db的图像峰值信噪比.
Based on dual-disperser coded aperture snapshot spectral imaging（ DD-CASSI） system,method using multiple sample image（ Multi Frame-DD-CASSI） was put forward to increase the sampling rate. And a new math model was put forward to realize spectral compression in 3-D data cube. The system makes full use of spectra＇s correlation,and 0. 99 spectral correlation fitting and 40 db image peak signal noise were achieved with 32 frames of sample images.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2017年第6期799-804,共6页
Journal of Infrared and Millimeter Waves
基金
中国科学院创新基金(CXJJ-16S054)~~
关键词
光谱成像
压缩感知
编码孔径光谱成像(CASSI)
重构算法
spectral image, compressed sensing, coded aperture snapshot spectral imaging （ CASSI）,reconstruct algorithm
