@inproceedings {475,
	title = {Multipole-motivated reduced-state estimation},
	booktitle = {International Conference on Image Processing},
	year = {1998},
	address = {Chicago},
	abstract = {<p>This paper discusses efficient solutions to large-scale two-dimensional estimation problems, using reduced state methods motivated by the multipole method of mathematical physics. The work is mainly exploratory, building on past efforts in multiscale statistical signal modeling and estimation. We will illustrate applications to the estimation of Markov random field textures, with the motivation and goal the estimation of remotely-sensed fields</p>
},
	keywords = {image texture, large-scale 2D estimation problems, Markov processes, Markov random field textures, mathematical physics, multipole method, multipole-motivated reduced-state estimation, multiscale statistical signal estimation, multiscale statistical signal modeling, parameter estimation, reduced state methods, Remote Sensing, remotely-sensed fields, state estimation, statistical analysis},
	doi = {http://dx.doi.org/10.1109/ICIP.1998.723580},
	author = {P Fieguth}
}
