A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain
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
2Topics & keywords
Topics
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.