1997
@inproceedings{SSD1997,
vgclass = {refpap},
vgproject = {cbir},
author = {M. Schr{\"o}der and K. Seidel and M. Datcu},
title = {Gibbs Random Field Models for Image Content Characterization},
editor = {T. I. Stein},
booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS'97)},
volume = {1},
pages = {258--260},
year = {1997},
url = {ftp://ftp.vision.ee.ethz.ch/publications/1997/postscripts/schroeder97a.ps.gz},
abstract = {Satellite images contain an enormous amount of spatial
information. To capture that information we propose, in the framework
of a stochastic modelling of the image, the use of Gibbs Markov random
fields. We expand on a particular model suitable for the use with
typical remote sensing images. We demonstrate the capabilities of that
model with two examples. In particular, we perform directed queries for
specific spatial information.},
}