Abstract:

With one scope of QuickBird panchromatic band remote sensing image (total rows and columns are 26 574 and 28 606, corresponding to the real region of 15.994 km×17.164 km) in Shenzhen urban area as research object, using the GPS virtual reference network positioning system of Shenzhen urban area to survey the three-dimensional coordinates of 65 GCPs which are easily recognized on the image, the precision of surveying GCPs is centimeter-level. Calculate the point of center of gravity of 65 GCPs. On the basis of statistic of the deviation between the real distance of each GCP to the point of center of gravity and the corresponding distance on deformed image, analyzing the main factors that possibly influence the pixel displacement of QuickBird panchromatic band remote sensing image. The principal components are extracted by using principal components analysis. The quantitative estimation model used to describe the deformation mechanism of QuickBird panchromatic band remote sensing image is established according to the principal components, which can improve the estimation precision of image deformation to a certainty. The result will have some reference value to research calibration algorithm of high spatial resolution remote sensing image.

Key words: pixel displacement, deformation mechanism, principal components analysis