Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify, and annotate digital images. In this ...
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
—This paper deals with different techniques for registration and fusion of remote sensed images. In this work the lower spatial resolution multispectral and higher resolution pan...
A high-level approach to describe the characteristics of a surface is to segment it into regions of uniform curehavior and construct an abstract representation given by a (topolog...
Fabien Vivodtzev, Lars Linsen, Georges-Pierre Bonn...
This article addresses the problem of road extraction from new high resolution satellite images. The proposed algorithm is divided in two sequential modules : a topologically corr...