A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain

University of Trento

Indexed incrossref

Abstract

This paper addresses unsupervised change detection by proposing a proper framework for a formal definition and a theoretical study of the change vector analysis (CVA) technique. This framework, which is based on the representation of the CVA in polar coordinates, aims at: 1) introducing a set of formal definitions in the polar domain (which are linked to the properties of the data) for a better general description (and thus understanding) of the information present in spectral change vectors; 2) analyzing from a theoretical point of view the distributions of changed and unchanged pixels in the polar domain (also according to possible simplifying assumptions); 3) driving the implementation of proper…

Citation impact

620
total citations
FWCI
18.37
Percentile
100%
References
28
Citations per year

Authors

2

Topics & keywords

Keywords
  • Change detection
  • Computer science
  • Multispectral image
  • Preprocessor
  • Domain (mathematical analysis)
  • Representation (politics)
  • Basis (linear algebra)
  • Polar coordinate system
No related works found for this paper.