A Theoretical Framework for Change Detection Based on a Compound Multiclass Statistical Model of the Difference Image

The change detection (CD) problem is very important in the remote sensing domain. The advent of a new generation of multispectral (MS) sensors has given rise to new challenges in the development of automatic CD techniques. In particular, typical approaches to CD are not able to well model and proper...

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Vydané v:	IEEE transactions on geoscience and remote sensing Ročník 56; číslo 2; s. 1129 - 1143
Hlavní autori:	Zanetti, Massimo, Bruzzone, Lorenzo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.02.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Bayesian analysis Change detection Change detection (CD) change vector analysis (CVA) Compounds Data models Detection Distribution expectation–maximization (EM) algorithm Frameworks Image detection Mathematical models multispectral (MS) multitemporal images Optimization Radiometric resolution Radiometry Remote sensing Rician distributions Satellites Sensors Statistical distributions Statistical models
ISSN:	0196-2892, 1558-0644
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