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Study on geometric correction of airborne multiangular imagery
Authors:Qiang Liu  Qinhuo Liu  Qing Xiao  Guoliang Tian
Institution:Laboratory of Remote Sensing and Information Science, Chinese Academy of Sciences, Beijing 100101, China
Abstract:An automatic image matching algorithm, and its application to geometric correction of airborne multiangular remote sensed imagery, are presented in this paper. The image-matching algorithm is designed to find correct match for images containing localized geometric distortion and spectral variation. Mathematical tools such as wavelet decomposition, B-spline, and multi-variant correlation estimator are integrated in the frame of pyramidal matching. The simulated experiment and our practice in correcting airborne multiangular images show that the matching algorithm is robust to the few random abnormal points and can achieve subpixel match accuracy in most area of the image. After geometric correction and registration, multiangular observations for each ground pixel are extracted and sun/view geometry is also simultaneously derived.
Keywords:automatic image matching  registration  multiangular images
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