期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2002
卷号：XXXIV Part 3 A
页码：23-28
出版社：Copernicus Publications
摘要：CAMIS is a multi-band airborne remote sensing instrument and is designed to utilize modern solid-state imaging and data acquisition technology. It is composed of four CCD cameras with band pass optical filters to obtain four band images. In this paper, we summarize the geometric calibration procedure and results of the CAMIS sensor. We modified the conventional calibration procedure especially for this sensor to make the process more efficient. A network bundle adjustment program was developed and used to adjust the laboratory measurements and locate the targets. Images of the target field were then taken by each of the four cameras of the CAMIS sensor. Two matching techniques were used to determine and refine the target locations in the image space. We modified the matching algorithm to overcome certain radiometric effects and thereby found the location of the target centers in image space. A full math model was used to recover the most significant camera parameters. The unified least squares approach was used iteratively to solve this nonlinear overdetermined system. In order to determine the lens distortion behaviour, the radial and decentering components were estimated. Then the radial distortion curve was equalized and the corresponding changes to the sensor parameters were recorded. Finally, we present four sets of adjusted parameters, one per camera. For simplicity, the graphical user interface feature in MATLAB was used to create a small user-friendly window with an executable file to adjust the image measurements for the four images based on their parameters
