针对大孔径静态干涉成像光谱仪(Large Aperture Static Interference Imaging Spectrometer,LASIS)各波段共视场扫描成像的特点,提出了基于在轨几何内检校的虚拟重成像方法进行波段高精度配准.此方法充分考虑姿轨的变化和镜头畸变等导致高光谱波段影像失配的几何因素,在内方位元素检校的基础上,对高光谱影像进行虚拟重成像,实现了对误差源的建模以及波段间相对误差的消除.利用遥感十四号LASIS在不同区域数据进行内检校和虚拟重成像实验,结果表明,进行LASIS数据的处理能够得到优于0.16像素的波段配准精度.

Large aperture static interference imaging spectrometer (LASIS) is characterized by that all CCD chips of 180 spectral bands scan through the same field. Based on this, a novel method is proposed to achieve high accuracy band-to-band registration by re-imaging with virtual CCD based calibration. Considering the geometric factors that cause hyperspectral image mismatch, such as changes of attitude and orbit data, lens distortion and so on, this method reimages the hyperspectral images with the virtual CCD calculated from the calibrated interior orientation to remodel the error sources and eliminate the relative errors. Validation experiments using different area data of RS-14 show that with the proposed method, the band-to-band registration accuracy of LASIS is better than 0.16 pixels.