Roger Fjortoft

TL;DR: The polarization uniqueness in transmission of this mixed basis mode, hereafter referred to as the /spl pi//4 mode, maintains the standard lower pulse repetition frequency operation and hence maximizes the coverage of the sensor.

TL;DR: The two approaches to unsupervised classification of radar images in the framework of hidden Markov models and generalized mixture estimation are compared and it is shown that they can be combined in a way that conserves their respective advantages.

TL;DR: The experimental results confirm expected characteristics of near-nadir Ka-band interferometric SAR imagery, such as strong water/land radiometric contrast and very highInterferometric coherence on water.

TL;DR: This work presents models and methods for classification of multiresolution images based on the concept of a reference resolution, corresponding to the highest resolution in the dataset, and proposes a Bayesian framework for classification based on this multiscale model.

TL;DR: A method that enables incorporation of correlations between images while keeping a good fit to the marginal distributions is proposed, and the joint distributions produced by the transformation method can be used in supervised classification of radar and optical images.