This paper surveys the state of the art on automatic road extraction for GIS update from
aerial and satellite imagery. It presents a bibliography of nearly 250 references related to …

The aim of this paper is to show that Dempster-Shafer evidence theory may be successfully
applied to unsupervised classification in multisource remote sensing. Dempster-Shafer …

This paper points out some key features of Dempster-Shafer evidence theory for data fusion
in medical imaging. Examples are provided to show its ability to take into account a large …

The new therapeutic method of scotoma-based photocoagulation (SBP) developed at the
Vienna Eye Clinic for diagnosis and treatment of age-related macular degeneration requires …

The principal aim of this book is to introduce to the widest possible audience an original
view of belief calculus and uncertainty theory. In this geometric approach to uncertainty …

Clustering analysis is a fundamental technique in machine learning, which is also widely
used in information granulation. Multiple clustering systems granulate a data set into …

The majority of existing automatic mine detection algorithms which have been developed
are robust at detecting mine-like objects (MLOs) at the expense of detecting many false …

This paper presents a unified framework for the creation of classified maps of the seafloor
from sonar imagery. Significant challenges in photometric correction, classification …

A scene interpretation system is presented in a multisensor fusion context the application of
which involves the interpretation of remote sensed images. The authors discuss how …

Two ways of introducing spatial information in Dempster–Shafer evidence theory are
examined: in the definition of the monosource mass functions, and, during data fusion. In the …