The matching between imaging remote sensing equipment and non-imaging remote sensing equipment refers to the space conversion between the image data and other data of observation target in the same reference coordinate system. Due to the difference of data and the difficulty of matching of different types of equipment, the previous studies are mostly between the same type of equipment and little attention to the matching of different data types of equipment. Such as molecular spectral level remote sensing applications require the matching between high spatial resolution image and hyperspectral resolution spectrum of the target. Taking the hyperspectral resolution of Spatial Heterodyne Spectrometer (SHS) as an example, this paper proposes a method to match and correct the pointing error of SHS, which is extracted the characteristics of the ground surface interferometric data with SHS by using the feature of large area uniform landform and abrupt change of the surface reflectance in coastline area of the high spatial resolution remote sensing image. And this method is used to realize the matching application between non-coaxial imaging remote sensing equipment and non-imaging remote sensing equipment. The SHS was used to perform ground-based testing experiment on the results of interferometric data at several earth observation points and high spatial resolution image data in the same latitude and longitude region. The results of the calibration correction were compared with their nominal values, and the error ranged from -3 % to 5%.The results show that the proposed method can be used as a reference for matching application between non-coaxial imaging remote sensing equipment and non-imaging remote sensing equipment on board the satellite.