Review article: Geometric processing of remote sensing images: models, algorithms and methods

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Remote sensing of forest pest damage: a review and lessons learned from a Canadian perspective* (2016, methodology): “There are a number of geometric correction methods for digital images whose selection depend somewhat on the intended use of the image (Toutin 2004).”
Sub-pixel precision image matching for measuring surface displacements on mass movements using normalized cross-correlation (2011, methodology): “…happening in the instantaneous field of view of a sensor detector cell, we decided to choose bi-cubic convolution because most images used for matching will in practice have undergone such interpolation during image correction and preprocessing steps, such as orthorectification (Toutin, 2004).”
A survey of image classification methods and techniques for improving classification performance (2007, neutral): “Many textbooks and articles have described this topic in detail (Jensen 1996, Toutin 2004).”