As the narrow stripes obtained by the pushbroom imaging spectrometer need to be geometrically corrected before mosaicking into a spatial twodimensional image, a technique of hyperspectral pushbroom image mosaicking based on ENVI redevelopment was proposed in this paper. A relationship of points on the images between tilting state and orthographic state of the spectrometer was established based on homography mapping, and image distortion caused by the

variation of flight posture was corrected. GPS data was combined to correct the stripe overlap due to the change of flight speed and the corrected stripes were mosaicked together. Technical integration was carried out on the ENVI redevelopment platform, realizing the automatic calibration and mosaicking of hyperspectral push broom stripes. Experiments were carried out in Baoding suburbs of Hebei province, and it showed that the mosaicking result obtained by proposed method was close to that obtained by spectrometer software. The coordinate differences of latitude and longitude were both within 1 m, and the root mean square error was about 0.738 9, which could meet the geographical accuracy requirements of general hyperspectral remote sensing application.