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

IEEE Transactions on Geoscience and Remote Sensing

Volumn 56, Issue 2, 2018, Pages 1129-1143

  Zanetti, Massimo ^a   Bruzzone, Lorenzo ^a  

^a UNIVERSITY OF TRENTO   (Italy)

Author keywords

Change detection (CD); change vector analysis (CVA); expectation maximization (EM) algorithm; multispectral (MS) multitemporal images; Rician distributions

Indexed keywords

IMAGE SEGMENTATION; REMOTE SENSING;

CHANGE DETECTION; CHANGE VECTOR ANALYSIS; EXPECTATION-MAXIMIZATION ALGORITHMS; MULTI-TEMPORAL IMAGE; RICIAN DISTRIBUTION;

MAXIMUM PRINCIPLE;

ALGORITHM; DETECTION METHOD; IMAGE ANALYSIS; MULTISPECTRAL IMAGE; NUMERICAL MODEL; REMOTE SENSING; SATELLITE IMAGERY; SATELLITE SENSOR; STATISTICAL DISTRIBUTION;

EID: 85041368549     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2017.2759663     Document Type: Article

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