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A new approach to estimate the point spread function (PSF) of remotely sensed images is proposed here based on multiple natural pointlike sources, i.e., subimages of the observed image. First the conditional subimages are extracted, and then a blind deconvolution technique is used to derive the PSF from these subimages. For a sampled imaging system with signal-to-noise ratio >20 dB, this method can provide a relatively accurate PSF result. Moreover, the estimated PSF can be applied to image restoration using Wiener filtering or other nonblind restoration methods. © The Authors.

New approach to measure the on-orbit point spread function for spaceborne imagers